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Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks / / by Patricia Melin, Martha Ramirez, Oscar Castillo
Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks / / by Patricia Melin, Martha Ramirez, Oscar Castillo
Autore Melin Patricia
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (82 pages)
Disciplina 006.3
Altri autori (Persone) RamirezMartha
CastilloOscar
Collana SpringerBriefs in Computational Intelligence
Soggetto topico Computational intelligence
Engineering mathematics
Computational Intelligence
Engineering Mathematics
ISBN 9783031711015
3031711017
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to Prediction with Neural Networks -- 2. Literature Review on Prediction with Neural Networks -- 3. Problem Description of Prediction with Neural Networks -- 4. Methodology for Prediction with Neural Networks5 -- Results of Prediction with Neural Networks -- 6. Discussion of Prediction Results with Neural Networks -- 7. Conclusions for Prediction with Neural Networks.
Record Nr. UNINA-9910890185703321
Melin Patricia  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic / / by Patricia Melin, Gabriela E. Martinez
Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic / / by Patricia Melin, Gabriela E. Martinez
Autore Melin Patricia
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (73 pages)
Disciplina 511.3
Collana SpringerBriefs in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-030-16416-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483443403321
Melin Patricia  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern Artificial Intelligence Based on Soft Computing Techniques / / edited by Patricia Melin, Oscar Castillo
Modern Artificial Intelligence Based on Soft Computing Techniques / / edited by Patricia Melin, Oscar Castillo
Autore Melin Patricia
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (533 pages)
Disciplina 006.3
Altri autori (Persone) CastilloOscar
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-031-88279-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1.Neural Networks -- Chapter 1.A comparative analysis of convolutional neural networks for skin cancer classification -- Chapter 2.Application of Artificial Neural Networks as Surrogate Models for Credit Assignment in Heuristic Selection Algorithms for Combinatorial Problems -- Chapter 3.Semiconductor-Deep Learning for the Design and Simulation of Solar Energy Reservoir-Powered Thermogenerators -- Chapter 4.Self-organizing maps as neural models for different unsupervised clustering problems -- Chapter 5.Application of a new approach for the prediction of inflation, exchange rate and gross national income in North American countries using Supervised Neural Networks -- Chapter 6.A Comparative Study of Transfer Learning and Fine-Tuning for Facial Paralysis Image Classification -- Part 2.Type-1 and Type-2 Fuzzy Systems -- Chapter 7.Intelligent Hybrid System for Kidney Image Classification Using Neural Networks and Fuzzy Logic -- Chapter 8.Optimization of Fuzzy Controllers using an Interval Type-2 Fuzzy Variant of the Multiverse Optimizer Algorithm -- Chapter 9.Optimal Design of Fuzzy Controllers with the Cuckoo Search Algorithm -- Chapter 10.Fuzzy estimation of slope value for the LeakyReLU applied to convolutional neural networks -- Chapter 11.Analysis and Intuitionistic Fuzzy Estimations on Solar Modules Efficiency -- Part 3.Metaheuristics -- Chapter 12.Grasshopper Optimization Algorithm Based Recommender System -- Chapter 13.Hybridization of the Mayfly and Roach infestation optimization collective Intelligence algorithms with fuzzy system-based parameter adaptation -- Chapter 14.Hybridization of change adaptation mechanisms to solve multi -objective dynamic problems -- Chapter 15.Metaheuristic-Based Route Planning for Efficient EV Charging Station Networks -- Chapter 16.A Hybrid ACO-MOGA Algorithm and Bio-Inspired Algorithms for Optimization of Vehicle Routing Problems -- Chapter 17.Micro differential evolution algorithm with self-adaptation for numerical optimization -- Part 4.Optimization -- Chapter 18.Applications of Bin Packing Problems in Cloud Computing -- Chapter 19.Genetic Algorithms and Q-Learning for the Optimization of the STSP Problem in Urban Mobility -- Chapter 20.Explicit Analysis of Three Popular Backpropagation Optimizers -- Chapter 21.Lower Limbs Varicose Veins Detection using Thermography: A State-of-the-art Review -- Chapter 22.Generating Feasible Solutions Through a Heuristic Approach in a Water Use Optimization Model Based on the Transportation Problem -- Part 5.Type-3 Fuzzy Systems -- Chapter 23.Type-3 Fuzzy System for Modeling Hotel Selection Decision[1]Making -- Chapter 24.Optimization of Interval Type-3 Fuzzy Inference Systems using a Genetic Algorithm applied to Medical Classification -- Chapter 25.Comparison of Type-1, Type-2 and Type-3 fuzzy Integrators for Ensemble Neural Networks Applied to Bitcoin Prediction -- Chapter 26.Review of Type-3 Fuzzy Logic: Theory and Applications -- Chapter 27.Type-3 Fuzzy System for Modeling the Decision of Process in Buying a Car.
Record Nr. UNINA-9911007367903321
Melin Patricia  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis / / by Patricia Melin, Ivette Miramontes, German Prado Arechiga
Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis / / by Patricia Melin, Ivette Miramontes, German Prado Arechiga
Autore Melin Patricia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (134 pages)
Disciplina 610.1511322
Collana SpringerBriefs in Computational Intelligence
Soggetto topico Computational intelligence
Biomedical engineering
Engineering - Data processing
Artificial intelligence
Computational Intelligence
Biomedical Engineering and Bioengineering
Data Engineering
Artificial Intelligence
ISBN 3-030-82219-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- 1 Introduction to Soft Computing Applied in Medicine -- References -- 2 Theory of Soft Computing and Medical Terms -- 2.1 Hybrid Systems -- 2.1.1 Artificial Neural Networks -- 2.1.2 Type-1 Fuzzy Systems -- 2.1.3 Type-2 Fuzzy Logic -- 2.1.4 Optimization -- 2.1.5 CSO -- 2.1.6 CSA -- 2.1.7 FPA -- 2.1.8 BSA -- 2.2 Blood Pressure -- 2.2.1 Hypertension -- 2.2.2 Heart Rate -- 2.2.3 Nocturnal Blood Pressure Profile -- 2.2.4 Ambulatory Blood Pressure Monitoring -- 2.2.5 Framingham Heart Study -- 2.2.6 Cardiovascular Risk -- References -- 3 Proposed Model to Obtain the Medical Diagnosis -- 3.1 Neuro-Fuzzy Hybrid Model -- 3.2 IT2FS for Classification of Heart Rate Level -- 3.3 IT2FS for Classification of Nocturnal Bloor Pressure Profile -- 4 Study Cases to Test the Optimization Performed in the Hybrid Model -- 4.1 Optimization of the Fuzzy System to Provide the Correct Classification of the Nocturnal Blood Pressure Profile -- 4.1.1 Design of a Fuzzy System for Classification of Nocturnal Blood Pressure Profile -- 4.1.2 Experimentation and Results -- 4.1.3 Statistical Test -- 4.2 Fuzzy System Optimization to Obtain the Heart Rate Level -- 4.2.1 Proposed Method for Optimization of the Heart Rate Fuzzy Classifier -- 4.2.2 Type-1 Fuzzy System Optimization Using the BSA -- 4.2.3 Design and Optimization of the IT2FS -- 4.2.4 Results Obtained from Optimizing the Heart Rate Fuzzy System -- 4.3 Optimization of the Modular Neural Network to Obtain the Trend of the Blood Pressure -- 4.3.1 Proposed Method for Optimization of the Modular Neural Network -- 4.3.2 Results of the Optimization Made to the Modular Neural Network -- 4.4 Optimization of the Artificial Neural Network Used to Obtain the Risk of Developing Hypertension.
4.4.1 Proposed Method for the Optimization of the Monolithic Neural Network Used to Obtain the Risk of Developing Hypertension -- 4.4.2 Results Obtained from the Optimization -- 4.4.3 Z-test of FPA and ALO Versus Simple Enumeration Method -- 4.5 Optimization of the Modular Neural Network to Obtain the Risk of Developing a Cardiovascular Event -- 4.5.1 Proposed Method for Optimizing the Modular Network for the Risk of Developing a Cardiovascular Event -- 4.5.2 Experimentation and Results of the Optimization -- 4.6 Fuzzy Bird Swarm Algorithm -- 4.6.1 Proposed Method for the Dynamic Parameter Adjustment -- 4.6.2 Experiments and Results -- 4.6.3 Results -- 4.6.4 Statistical Test -- References -- 5 Conclusions of the Hybrid Medical Model -- Appendix A Knowledge Representation -- Type-1 Fuzzy System Knowledge Representation for Heart Rate Classification -- Inputs Variables -- Output Variable -- IT2FS Knowledge Representation Using Gaussian Membership Functions -- Inputs Variables -- Output Variable -- Knowledge Representation of the Fuzzy Classifier to Obtain the Nocturnal Blood Pressure Profile -- Inputs Variables -- Appendix B Graphical User Interface -- Index.
Record Nr. UNINA-9910523784203321
Melin Patricia  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
Nature-Inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis
Autore Melin Patricia
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2021
Descrizione fisica 1 online resource (134 pages)
Altri autori (Persone) MiramontesIvette
Prado ArechigaGerman
Collana SpringerBriefs in Applied Sciences and Technology Ser.
Soggetto genere / forma Electronic books.
ISBN 3-030-82219-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910497107003321
Melin Patricia  
Cham : , : Springer International Publishing AG, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension / / by Patricia Melin, German Prado-Arechiga
New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension / / by Patricia Melin, German Prado-Arechiga
Autore Melin Patricia
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (88 pages) : illustrations, tables
Disciplina 616.132075
Collana SpringerBriefs in Computational Intelligence
Soggetto topico Computational intelligence
Biomedical engineering
Medical informatics
Computational Intelligence
Biomedical Engineering and Bioengineering
Health Informatics
ISBN 3-319-61149-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
Record Nr. UNINA-9910299900703321
Melin Patricia  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Type-3 Fuzzy Logic and Fractal Theory for Medical Diagnosis / / by Patricia Melin, Oscar Castillo
Type-3 Fuzzy Logic and Fractal Theory for Medical Diagnosis / / by Patricia Melin, Oscar Castillo
Autore Melin Patricia
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (117 pages)
Disciplina 006.3
Altri autori (Persone) CastilloOscar
Collana SpringerBriefs in Computational Intelligence
Soggetto topico Computational intelligence
Engineering mathematics
Biomedical engineering
Computational Intelligence
Engineering Mathematics
Biomedical Engineering and Bioengineering
ISBN 9783031816550
3031816552
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to Type-3 Fuzzy-Fractal Medical Diagnosis -- Chapter 2. A Type-3 Fuzzy-Fractal Approach for Tuberculosis Diagnosis -- Chapter 3. A Type-3 Fuzzy-Fractal Approach for Bone Analysis in Osteoporosis Diagnosis -- Chapter 4. A Type-3 Fuzzy-Fractal Approach for Leukemia Cancer Diagnosis.-Chapter 5. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Vascular Diseases based on Cardiac Vessels -- Chapter 6. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Mental Disorders -- Chapter 7. A Type-3 Fuzzy-Fractal Approach for Diagnosis of Vascular Diseases based on Cerebral Vessels -- Chapter 8. Conclusions of Type-3 Fuzzy-Fractal Medical Diagnosis.
Record Nr. UNINA-9910983063703321
Melin Patricia  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui