Autore	Eberhart Russell C
Edizione	[1st edition]
Pubbl/distr/stampa	Amsterdam ; ; Boston, : Elsevier/Morgan Kaufmann Publishers, c2007
Descrizione fisica	1 online resource (543 p.)
Disciplina	006.3
Altri autori (Persone)	ShiYuhui
Soggetto topico	Computational intelligence Neural networks (Neurobiology)
ISBN	1-281-22770-6 9786611227708 0-08-055383-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Front Cover; Computational Intelligence; Copyright Page; Table of Contents; Preface; Chapter 1. Foundations; Definitions; Biological Basis for Neural Networks; Behavioral Motivations for Fuzzy Logic; Myths about Computational Intelligence; Computational Intelligence Application Areas; Summary; Exercises; Chapter 2. Computational Intelligence; Adaptation; Self-organization and Evolution; Historical Views of Computational Intelligence; Computational Intelligence as Adaptation and Self-organization; The Ability to Generalize Computational Intelligence and Soft Computing versus Artificial Intelligence and Hard ComputingSummary; Exercises; Chapter 3. Evolutionary Computation Concepts and Paradigms; History of Evolutionary Computation; Evolutionary Computation Overview; Genetic Algorithms; Evolutionary Programming; Evolution Strategies; Genetic Programming; Particle Swarm Optimization; Summary; Exercises; Chapter 4. Evolutionary Computation Implementations; Implementation Issues; Genetic Algorithm Implementation; Particle Swarm Optimization Implementation; Summary; Exercises Chapter 5. Neural Network Concepts and ParadigmsNeural Network History; What Neural Networks are and Why They are Useful; Neural Network Components and Terminology; Neural Network Topologies; Neural Network Adaptation; Comparing Neural Networks and Other Information Processing Methods; Preprocessing; Postprocessing; Summary; Exercises; Chapter 6. Neural Network Implementations; Implementation Issues; Back-propagation Implementation; The Kohonen Network Implementations; Evolutionary Back-propagation Network Implementation; Summary; Exercises; Chapter 7. Fuzzy Systems Conceptsand Paradigms HistoryFuzzy Sets and Fuzzy Logic; The Theory of Fuzzy Sets; Approximate Reasoning; Developing a Fuzzy Controller; Summary; Exercises; Chapter 8. Fuzzy Systems Implementations; Implementation Issues; Fuzzy Rule System Implementation; Evolving Fuzzy Rule Systems; Summary; Exercises; Chapter 9. Computational Intelligence Implementations; Implementation Issues; Fuzzy Evolutionary Fuzzy Rule System Implementation; Choosing the Best Tools; Applying Computational Intelligence to Data Mining; Summary; Exercises; Chapter 10. Performance Metrics; General Issues; Percent Correct Average Sum-squared ErrorAbsolute Error; Normalized Error; Evolutionary Algorithm Effectiveness Metrics; Mann-Whitney U Test; Receiver Operating Characteristic Curves; Recall and Precision; Other ROC-related Measures; Confusion Matrices; Chi-square Test; Summary; Exercises; Chapter 11. Analysis and Explanation; Sensitivity Analysis; Hinton Diagrams; Computational Intelligence Tools for Explanation Facilities; Summary; Exercises; Bibliography; Index; About the Authors; Chapter 12. Case Study Summaries; Case Study Preview; Case Study 1: Detection of Electroencephalogram Spikes Case Study 2: Determining Battery State of Charge
Record Nr.	UNINA-9910784623103321

Autore	Tan Ying
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (297 pages)
Disciplina	005.3
Altri autori (Persone)	ShiYuhui
Collana	Communications in Computer and Information Science
Soggetto topico	Application software Artificial intelligence Image processing - Digital techniques Computer vision Computer and Information Systems Applications Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN	981-9708-37-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Data Mining Methods -- Data Analytics Methods in Human Resource Demand Forecasting -- 1 Introduction -- 2 Related work -- 2.1 Human Resource Demand Forecasting methods -- 2.2 Multiple Regression Analysis -- 2.3 Data Mining methods -- 3 Data Analytics Methods in Human Resource Demand Forecasting -- 3.1 Multiple Regression Analysis Method -- 3.2 BP Neural Network Algorithm -- 4 Experimental Analysis -- 4.1 Result Analysis of Multiple Linear Regression Forecasting for Human Resources -- 4.2 Result Analysis of BP Neural Network Forecasting for Human Resources -- References -- A Localization Correction Algorithm of Location-Based Services Based on Point Clustering -- 1 Introduction -- 2 Cell Phone Location and Location Service Bias -- 2.1 Cell Phone Positioning -- 2.2 Location Service Bias -- 3 Core Technology -- 3.1 Clustering Algorithm -- 3.2 Implementation of Localization in ANDROID Systems -- 3.3 Expectation Model for Location Data -- 4 Positioning Data Acquisition Program Design and Implementation -- 4.1 Positional Data Structure -- 4.2 Positioning Process -- 5 Experimental Analysis -- 6 Summarize -- References -- Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Data -- 1 Introduction -- 2 Dataset and Methods -- 2.1 Live Streaming Data -- 2.2 Prediction Methods -- 2.3 Experimental Design -- 3 Results -- 3.1 Data Overview and Temporal Analysis -- 3.2 Univariate Prediction -- 3.3 Feature Importance -- 4 Conclusions and Discussion -- References -- Forecasting Chinese Overnight Stock Index Movement Using Large Language Models with Market Summary -- 1 Introduction -- 2 Data -- 2.1 Market Summary -- 2.2 Overnight Stock Market Index Movement -- 3 Models -- 3.1 BERT -- 3.2 FinBERT -- 3.3 RoBERTa -- 3.4 LERT -- 3.5 MacBERT -- 3.6 PERT. 3.7 BART -- 3.8 Longformer -- 3.9 BigBird -- 3.10 GPT -- 3.11 Fine-tuning -- 3.12 Prompt of GPT -- 3.13 Evaluation Metrics -- 4 Empirical Results -- 5 Conclusions -- References -- A Practical Byzantine Fault Tolerance Algorithms Based on Randomized Mean Clustering, Trust and Credibility -- 1 Introduction -- 2 Related Works -- 3 CTPBFT Algorithm Design and Implementation -- 3.1 Node Trust Assessment -- 3.2 CTPBFT Divided Cluster Strategy -- 3.3 Node Credibility and Reward Curves -- 3.4 Improved Consensus Process -- 4 Reward Functions -- 4.1 Feasibility Analysis of the Reward Function -- 5 Experiment -- 5.1 Algorithm Complexity Analysis -- 5.2 Communication Overhead -- 5.3 Message Throughput -- 5.4 Transaction Delay -- 6 Conclusion -- References -- Improved Joint Distribution Adaptation for Fault Diagnosis -- 1 Introduction -- 2 Transfer Learning Problems -- 3 Proposed Method -- 3.1 Reconstruction with Weighted Source Domain -- 3.2 Modeling and Solving -- 4 Experiment Results and Comparison -- 4.1 Dataset -- 4.2 Results of Data Experiments -- 5 Conclusion -- References -- Pretrained Language Models and Applications -- A Unified Recombination and Adversarial Framework for Machine Reading Comprehension -- 1 Introduction -- 2 Related Work -- 2.1 Attention Mechanism Based Methods -- 2.2 Pre-trained Language Model Based Methods -- 3 Methods -- 3.1 Recombination Layer -- 3.2 Encoding Layer -- 3.3 Fusion Layer -- 3.4 Adversarial Learning -- 3.5 Model Training and Prediction -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Overall Results -- 4.3 Multi-type Problem Analysis -- 4.4 Analysis of Different Numbers of Candidates -- 5 Conclusion -- References -- Research on Data Mining Methods in the Field of Quality Problem Analysis Based on BERT Model -- 1 Introduction -- 2 Related Work -- 2.1 Data Related to Quality Problem Analysis -- 2.2 BERT Model -- 3 Method. 3.1 Pre-processing of Data -- 3.2 Named Entity Recognition Task -- 3.3 Relationship Extraction Task -- 4 Experiments -- 4.1 Construction of Dataset -- 4.2 Named Entity Recognition Task -- 4.3 Relationship Extraction Task -- 5 Conclusion -- References -- Cross-Language Text Search Algorithm Based on Context-Compatible Algorithms -- 1 Introduction -- 2 Research Status -- 2.1 Overview of the Linguistic Contextual Representation Model -- 2.2 Context-Compatible Algorithm -- 2.3 Participle Algorithm -- 3 Core Algorithm Implementation -- 3.1 Segmentation Algorithm Implementation -- 3.2 Word Co-sentence Algorithm Implementation -- 3.3 Context-Based Cross-Context Search Algorithm Implementation -- 4 Experiments -- 4.1 Experimentation with Segmentation Algorithms -- 4.2 Corpus Realization -- 4.3 Implementation of Cross-Language Search Algorithms -- 5 Summarize -- References -- PEKD: Joint Prompt-Tuning and Ensemble Knowledge Distillation Framework for Causal Event Detection from Biomedical Literature -- 1 Introduction -- 2 Related Work -- 2.1 Event Relation Extraction Approach Based on Neural Network -- 2.2 Few-Shot Learning Methods for Neural Network Models -- 2.3 Compression Methods for Neural Network Models -- 3 Main Method -- 3.1 Problem Definition -- 3.2 Framework -- 4 Datasets and Experiments -- 4.1 Datasets -- 4.2 Evaluation Metric -- 4.3 Hyper-Parameters -- 4.4 Overall Performance -- 4.5 Ablation Study -- 5 Conclusion -- References -- Empirical Analysis on the Effectiveness of Pre-trained Models in the Identification of Physical Violence Against Women in Videos for a Multi-class Approach -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 VGG16 -- 2.2 ResNet50 -- 2.3 InceptionV3 -- 3 Experimental Set-Up -- 3.1 Dataset -- 3.2 Free Parameters Specification -- 3.3 Performance of the Deep Learning Models -- 4 Results and Discussion -- 4.1 VGG16 Model. 4.2 ResNet50 Model -- 4.3 InceptionV3 Model -- 5 Conclusions and Future Research -- References -- Assessing GPT-4 Generated Abstracts: Text Relevance and Detectors Based on Faithfulness, Expressiveness, and Elegance Principle -- 1 Introduction -- 2 Literature Review -- 2.1 Comparison of GPT-4 to Other Large Language Models (LLMs) -- 2.2 The Evolution of GPT from GPT-1 to GPT-4 -- 2.3 Writing Capabilities in GPT-4 -- 3 Methods -- 3.1 Datasets -- 3.2 Prompting -- 3.3 Evaluation Metrics -- 4 Results -- 4.1 Text Relevance Scores -- 4.2 AI Detector Scores -- 4.3 Plagiarism Detector Scores -- 5 Discussion -- 6 Conclusion -- References -- Financial Text Sentiment Analysis Based on ChatGPT-Taking the Real Estate Industry as an Example -- 1 Introduction -- 2 Literature Review -- 2.1 Dictionary-Based Methods -- 2.2 Machine Learning-Based Methods -- 2.3 Emotion Lexicon - Machine Learning Combination Methods -- 2.4 Using ChatGPT Tool as an Analysis Method -- 3 Overview of ChatGPT Technology Process -- 4 Research Methodology -- 4.1 Workflow of the Experiments -- 4.2 Datasets -- 4.3 Preliminary Experiment: Industry Sentiment Training -- 4.4 Improvement Experiment: Enterprise Sentiment Training -- 5 Experiment and Results -- 5.1 Preliminary Experiment: Industry Sentiment Training -- 5.2 Improvement Experiment: Enterprise Sentiment Training -- 6 Conclusion and Future Work -- 6.1 Conclusion -- 6.2 Future Work -- References -- Reinforcement Learning Approaches -- A New Deep Reinforcement Learning Algorithm for UAV Swarm Confrontation Game -- 1 Introduction -- 2 Related Work -- 2.1 UAV Swarm Confrontation Strategy -- 2.2 Multi-agent Deep Reinforcement Learning -- 3 The UAV Swarm Confrontation Problem and the Algorithms -- 3.1 Task Description -- 3.2 Reward Function -- 3.3 The Implementation of MADDPG on the Task -- 3.4 The Description of MB-MADDPG. 4 Experiments and Analysis -- 4.1 Verification of Strategy Optimization Effect -- 4.2 Comparison and Analysis of Algorithms -- 5 Conclusion -- References -- Proximal Policy Optimization for Same-Day Delivery with Drones and Vehicles -- 1 Introduction -- 2 Problem Definition: SDDPHF -- 2.1 Problem Statement -- 2.2 Route-Based MDP -- 3 Solution Approach -- 4 Computational Results -- 4.1 Parameter Setting -- 4.2 Evaluation -- 5 Conclusion -- References -- A Double-Layer Reinforcement Learning Feature Optimization Framework for Evolutionary Computation Based Feature Selection Algorithms -- 1 Introduction -- 2 Background and Related Work -- 2.1 A Subsection Sample -- 2.2 Q-Learning -- 2.3 EC-Based Feature Selection Algorithms -- 2.4 Reinforcement Learning Based Feature Selection Algorithm -- 3 The Propose Method -- 3.1 Double-Layer Reinforcement Learning Based Feature Optimization Framework -- 3.2 Lower-Layer Feature Optimization Algorithm Based on Q-Learning -- 3.3 Upper-Layer Length Control Strategic Based on Q-Learning -- 4 Experiment and Result -- 4.1 Dataset Description and Experiment Settings -- 4.2 Parameter Settings -- 4.3 Experiment Result -- 5 Conclusion -- References -- Combinatorial Optimization Approaches -- Ant-Antlion Optimizer with Similarity Information for Multidimensional Knapsack Problem -- 1 Introduction -- 2 Related Works -- 3 Ant-Antlion Optimizer with Similarity Information -- 3.1 Novel Fitness with Similarity Information -- 3.2 Self-adaption Mutation -- 3.3 Procedure of Proposed Method -- 4 Experiments and Results -- 4.1 Testing Problems and Comparison Methods -- 4.2 Simulation and Evaluation -- 5 Conclusions -- References -- Efficient Graph Sequence Reinforcement Learning for Traveling Salesman Problem -- 1 Introduction -- 2 Related Work -- 2.1 Autoregressive Methods -- 2.2 Non-autoregressive Methods. 3 Graph Sequence Reinforcement Learning Model.
Record Nr.	UNINA-9910841863203321

Autore	Tan Ying <1964->
Edizione	[1st ed. 2022.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica	1 online resource (474 pages)
Disciplina	005.7
Collana	Communications in Computer and Information Science
Soggetto topico	Application software Artificial intelligence Image processing—Digital techniques Computer vision Computer and Information Systems Applications Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN	981-19-8991-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Identification and Recognition Methods -- Complementary Convolutional Restricted Boltzmann Machine and Its Applications in Image Recognition -- Text-independent Speaker Identification Using a Single-scale SincNet-DCGAN Model -- Genome-wide Feature Selection of Robust mRNA Biomarkers for Body Fluid Identification -- HOS-YOLOv5: An Improved High-precision Remote Sensing Image Target Detection Algorithm Based on YOLOv5 -- A Multi-Module 3D U-Net Learning Architecture for Brain Tumor Segmentation -- Problems with Regression-line in Data-mining Applications and A Better Alternate Linear-model -- Research on Hot Spot Mining Technology for Network Public Opinion -- Research Hotspots, Emerging Trend and Front of Fraud Detection Rearch: A Scientometric Analysis (1984 - 2021) -- Optimization Methods -- An Algorithm of Set-Based Differential Evolution for Discrete Optimization Problem -- Multi-objective Optimization Technique for RSU Deployment -- Knowledge Learning-based Brain Storm Optimization Algorithm for Multimodal Optimization -- Market Investment Methods -- Non-Local Graph Aggregation for Diversified Stock Recommendation -- Novel Sentiment Analysis from Twitter for Stock Change Prediction -- A Novel Investment Strategy for Mixed Asset Allocation Based on Entropy-based Time Series Prediction -- A Novel Investment Strategy for Mixed Asset Allocation Based on Entropy-based Time Series Prediction -- Community Detection and Diagnosis Systems -- A Self-Adaptive Two-Stage Local Expansion Algorithm for Community Detection on Complex Networks -- Supervised Prototypical Variational Autoencdoer for Shilling Attack Detection in Recommender Systems -- Knowledge Graph based Chicken Disease Diagnosis Question Answering System -- Therapeutic effects of corticosteroids for critical and severe COVID-19 patients -- Big Data Analysis -- Secure Cross-User Fuzzy Deduplication for Images in Cloud Storage -- Blockchain-based Integrity Auditing with Secure Deduplication in Cloud Storage -- Name Disambiguation Based on Entity Relationship Graph in Big Data -- Ontology-based metadata model design of data governance system -- Ontology-based Combat Force Modeling and Its Intelligent Planning Using Genetic Algorithm -- Research on Multi-channel Retrieve Mechanism Based on Heuristic -- Big-Model Methods -- PoetryBERT: Pre-Training with Sememe Knowledge for Classical Chinese Poetry -- Image hide with Invertible Network and Swin Transformer -- Modeling and Analysis of Combat System Confrontation Based on Large-scale Knowledge Graph Network -- Generating Aversarial Exmaples and Other Applications -- Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN -- Defending Adversarial Examples by Negative Correlation Ensemble -- Accurate Decision-Making Method for Air Combat Pilots based on Data-Driven -- Establishment of Empirical Expression of Atmospheric Scattering Coefficient for Line-of-sight Ultraviolet Propagation in Coastal Area -- Deep Reinforcement Learning Approach -- Heterogeneous Multi-unit Control with Curriculum Learning for Multi-agent Reinforcement Learning -- A Deep Reinforcement Learning Approach for Cooperative Target Defense -- Particle Swarm Based Reinforcement Learning -- User’s Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning in Data Center -- SMPG: Adaptive Soft Update for Masked MADDPG -- Attentive Relational State Representation for Intelligent Joint Operation Simulation -- Graph Neural Networks -- Flow Prediction via Multi-view Spatial-temporal Graph Neural Network -- RotatSAGE: A Scalable Knowledge Graph Embedding Model based on Translation Assumptions and Graph Neural Networks -- Denoise Network Structure for User Alignment across Networks via Graph Structure Learning -- OLPGP: An optimized label propagation-based distributed graph partitioning algorithm -- Deep Neural Networks -- DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection -- Emotion Recognition Based on Multi-scale Convolutional Neural Network.-Pose Sequence Model Using the Encoder-decoder Structure for 3d Pose Estimation.-Research and Analysis of Video-Based Human Pose Estimation.-Action Recognition for Solo-militant Based on ResNet and Rule Matching -- Multiple Residual Quantization of Pruning -- Clustering Methods -- Deep Structured Graph Clustering Network -- Improved Clustering Strategies for Learning Style Identification in Massive Open Online Courses -- CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data -- Prediction Methods -- An Improved Multi-Source Spatiotemporal Data Fusion Model based on the Nearest Neighbor Grids for PM2.5 Concentration Interpolation and Prediction -- Study on the Prediction of Rice Noodle Raw Material Index Content by Deep Feature Fusion -- GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory -- Multi-Cause Learning for Diagnosis Prediction -- Prediction of Postoperative Survival Level of Esophageal Cancer Patients Based on Kaplan-Meier(K-M) Survival Analysis and Gray Wolf Optimization (GWO)-BP Model -- Classification Methods -- Possibilistic Reject-Classification based on Contrastive Learning in Vector Quantization Networks -- A Classification Method for Imbalanced Data Based on Ant Lion Optimizer -- Learnable Relation With Triplet Formulation For Semi-supervised Medical Image Classification -- Multi-view Classification via Twin Projection Vector Machine with Application to EEG-based Driving Fatigue Detection -- An Interpretable Conditional Augmentation Classification Approach for Imbalanced EHRs Mortality Prediction -- Combining Statistical and Semantic Features For Trajectory Point Classification.
Record Nr.	UNISA-996508666703316

Pubbl/distr/stampa	Singapore : , : Springer, , [2020]
Descrizione fisica	1 online resource (x, 117 pages) : illustrations
Disciplina	005.7
Collana	Communications in computer and information science
Soggetto topico	Data mining Big data Computer Applications Information Systems and Communication Service Artificial Intelligence Mathematics of Computing Computer Systems Organization and Communication Networks
ISBN	981-15-7205-4
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Adaptive and Dynamic Knowledge Transfer in Multi-task Learning with Attention Networks -- RPP Algorithm: a Method for Discovering Interesting Rare Itemsets -- Pareto Optimization in Oil Refinery -- Hypothesis Verication for Designing Flyback Booster by Analysis of Variance Visualized on Triangular Matrix Representations -- Application of Decision Tree Algorithm Based on Clustering and Entropy Method Level Division for Regional Economic Index Selection -- An Evaluation Algorithm of the Importance of Network Node Based on Community Influence -- PCA Based Kernel Initialization for Convolutional Neural Networks -- Research on PM2.5 Integrated Prediction Model Based on lasso-RF-GAM -- Research on Short-term Urban Traffic Congestion Based on Fuzzy Comprehensive Evaluation and Machine Learning -- Analysis of Breast Cancer Detection Using Different Machine Learning Techniques.
Altri titoli varianti	DMBD 2020
Record Nr.	UNISA-996465361203316