Artificial neural networks /

Artificial neural networks /

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Bibliographic Details
Other Authors: Kwon, Seoyun J. (Editor)
Format: Book
Language:English
Published: Hauppauge, N.Y. : Nova Science Publishers, c2011.
Series:Mathematics research developments series.
Engineering tools, techniques and tables.
Subjects:
Neural networks (Computer science)
Neural Networks, Computer
Réseaux neuronaux (Informatique)
COMPUTERS > Neural Networks.
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245 0 0 |a Artificial neural networks /  |c editor, Seoyun J. Kwon. 
264 1 |a Hauppauge, N.Y. :  |b Nova Science Publishers,  |c c2011. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Mathematics research developments 
490 1 |a Engineering tools, techniques and tables 
504 |a Includes bibliographical references and index. 
588 |a Description based on print version record. 
505 0 |a ARTIFICIAL NEURAL NETWORKS -- ARTIFICIAL NEURAL NETWORKS -- CONTENTS -- PREFACE -- ARTIFICIAL NEURAL NETWORK MODELING OF WATER AND WASTEWATER TREATMENT PROCESSES -- ABSTRACT -- 1. INTRODUCTION -- 2. TOPOLOGY OF ARTIFICIAL NEURAL NETWORKS -- 2.1. Transfer Functions -- 2.2. Learning Process -- 2.2.1. Supervised Learning -- 2.2.2. Reinforcement Learning -- 2.2.3. Unsupervised Learning -- 2.3. Training Algorithms -- 2.3.1. Back Propagation Algorithm -- 2.3.1.1. Conjugate Gradient Algorithm -- 2.3.1.2. Scaled Conjugate Gradient Algorithm 
505 8 |a 2.3.2. Quasi-Newton Algorithms 2.3.3. Levenberg-Marquardt Algorithm -- 3. TRAINING, VALIDATION AND TEST OF A NEURAL NETWORK -- 3.1. Test of the Fitted Model -- 3.2. Relative Importance of Input Variables -- 3.3. Improving Generalization -- 3.3.1. Regularization -- 3.3.2. Early Stopping -- 4. APPLICATIONS OF ARTIFICIAL NEURAL NETWORK MODELING -- 5. ANN MODELING OF ADSORPTION PROCESSES -- 6. ANN MODELING OF BIOLOGICAL TREATMENT PROCESSES -- 7. ANN MODELING OF ELECTROCHEMICAL TREATMENT PROCESSES -- 8. ANN MODELING OF PHOTOCATALYTIC PROCESSES 
505 8 |a 9. ANN MODELING OF PHOTOOXIDATIVE PROCESSES 9.1. Fenton and Photoâ€?Fenton Processes -- 9.2. UV/H2O2, ozonation and chlorination processes -- CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- RECENT ADVANCES AND CHALLENGES IN THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS (ANN) IN NEUROLOGICAL SCIENCES: AN OVERVIEW -- SUMMARY -- 1. INTRODUCTION -- 2. CLASSIFICATION SYSTEMS AND MEASURES IN MEDICINE AND NEUROLOGY -- 3. HISTORY AND BASIC DESCRIPTION OF ANN -- 4. DEVELOPMENTS AND CURRENT UTILIZATION OF ANN IN NEUROLOGY 
505 8 |a 4.1. ANN in Cerebrovascular Diseases 4.2. Sleep Apnea -- 4.3. ANN in Neurodegenerative Disorders -- 4.3.1. Alzheimerâ€?s Disease And Other Dementias -- 4.3.2. Parkinsonâ€?s Disease -- 4.4. ANN in Clinical Neurophysiology (EEG and EMG) -- 4.5. ANN in Autism Research -- 4.6. ANN in Brain Tumor Studies -- 4.7. ANN in Brain Injuries -- 5. FUTURE CHALLENGES OF ANN: APPLICATIONS IN NEUROLOGICAL SCIENCES -- 6. CONCLUSIONS -- APPENDIX 1. (ONLINE ONLY) -- APPENDIX 2. (ONLINE ONLY) -- APPENDIX 3. (ONLINE ONLY) -- REFERENCES 
505 8 |a DIFFERENT TYPES OF APPLICATIONS PERFORMED WITH DIFFERENT TYPES OF NEURAL NETWORKS ABSTRACT -- 1. THEORETICAL ASPECTS -- 2. NEURAL NETWORK TYPES -- 3. NEURAL NETWORK APPLICATIONS -- 3.1. Direct Neural Network Modeling -- 3.2. Inverse Neural Network Modeling -- 3.3. Neural Networks Used for the Chemical Process Monitoring -- 3.4. Optimization Based on Neural Network Models -- 3.5. Neural Networks Used in Process Control -- 3.6. Neural Networks as Classification Tools -- 3.7. Property Prediction and Molecular Design -- CONCLUSIONS -- REFERENCES 
546 |a English. 
650 0 |a Neural networks (Computer science) 
650 2 |a Neural Networks, Computer 
650 6 |a Réseaux neuronaux (Informatique) 
650 7 |a COMPUTERS  |x Neural Networks.  |2 bisacsh 
650 7 |a Neural networks (Computer science)  |2 fast  |0 (OCoLC)fst01036260 
700 1 |a Kwon, Seoyun J.,  |e editor. 
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830 0 |a Engineering tools, techniques and tables. 
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