Artificial Neural Networks in Biological and Environmental Analysis
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Artificial Neural Networks in Biological and Environmental Analysis
Hanrahan, Grady (California Lutheran University, Thousand Oaks, USA)
Taylor & Francis Ltd
09/2017
214
Mole
Inglês
9781138112933
15 a 20 dias
Descrição não disponível.
Foreword Preface Acknowledgments Author Biography Guest Contributors Glossary of Acronyms Introduction Artificial Intelligence: Competing Approaches or Hybrid Intelligent Systems? Neural Networks: An Introduction and Brief History Neural Network Application Areas Concluding Remarks References Network Architectures Neural Network Connectivity and Layer Arrangement Feedforward Neural Networks Recurrent Neural Networks Concluding Remarks References Model Design and Selection Considerations In Search of the Appropriate Model Data Acquisition Data Preprocessing and Transformation Processes Feature Selection Data Subset Selection Neural Network Training Model Selection Model Validation and Sensitivity Analysis Concluding Remarks References Intelligent Neural Network Systems and Evolutionary Learning Hybrid Neural Systems An Introduction to Genetic Algorithms An Introduction to Fuzzy Concepts and Fuzzy Inference Systems The Neural-Fuzzy Approach Hybrid Neural Network-Genetic Algorithm Approach Concluding Remarks References Applications in Biological and Biomedical Analysis Introduction Applications Concluding Remarks References Applications in Environmental Analysis Introduction Applications Concluding Remarks References Appendix I: Review of Basic Matrix Notation and Operations Appendix II: Cytochrome P450 (CYP450) Isoform Data Set Used in Michielan et al (2009) Appendix III: A 143-Member VOC Data Set and Corresponding Observed and Predicted Values of Air-to-Blood Partition Coefficients Index
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Foreword Preface Acknowledgments Author Biography Guest Contributors Glossary of Acronyms Introduction Artificial Intelligence: Competing Approaches or Hybrid Intelligent Systems? Neural Networks: An Introduction and Brief History Neural Network Application Areas Concluding Remarks References Network Architectures Neural Network Connectivity and Layer Arrangement Feedforward Neural Networks Recurrent Neural Networks Concluding Remarks References Model Design and Selection Considerations In Search of the Appropriate Model Data Acquisition Data Preprocessing and Transformation Processes Feature Selection Data Subset Selection Neural Network Training Model Selection Model Validation and Sensitivity Analysis Concluding Remarks References Intelligent Neural Network Systems and Evolutionary Learning Hybrid Neural Systems An Introduction to Genetic Algorithms An Introduction to Fuzzy Concepts and Fuzzy Inference Systems The Neural-Fuzzy Approach Hybrid Neural Network-Genetic Algorithm Approach Concluding Remarks References Applications in Biological and Biomedical Analysis Introduction Applications Concluding Remarks References Applications in Environmental Analysis Introduction Applications Concluding Remarks References Appendix I: Review of Basic Matrix Notation and Operations Appendix II: Cytochrome P450 (CYP450) Isoform Data Set Used in Michielan et al (2009) Appendix III: A 143-Member VOC Data Set and Corresponding Observed and Predicted Values of Air-to-Blood Partition Coefficients Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
