Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Computational intelligence [[electronic resource] ] : concepts to implementations / / Russell C. Eberhart, Yuhui Shi
| Computational intelligence [[electronic resource] ] : concepts to implementations / / Russell C. Eberhart, Yuhui Shi |
| 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) |
| Soggetto genere / forma | Electronic books. |
| 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-9910458816003321 |
Eberhart Russell C
|
||
| Amsterdam ; ; Boston, : Elsevier/Morgan Kaufmann Publishers, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence [[electronic resource] ] : concepts to implementations / / Russell C. Eberhart, Yuhui Shi
| Computational intelligence [[electronic resource] ] : concepts to implementations / / Russell C. Eberhart, Yuhui Shi |
| 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 |
|
Eberhart Russell C
|
||
| Amsterdam ; ; Boston, : Elsevier/Morgan Kaufmann Publishers, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational intelligence : concepts to implementations / / Russell C. Eberhart, Yuhui Shi
| Computational intelligence : concepts to implementations / / Russell C. Eberhart, Yuhui Shi |
| 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-9910827533703321 |
|
Eberhart Russell C
|
||
| Amsterdam ; ; Boston, : Elsevier/Morgan Kaufmann Publishers, c2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||