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|a 923653610
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|a 006.3/2
|2 22
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| 049 |
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|a MAIN
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| 245 |
0 |
0 |
|a Artificial neural networks /
|c editor, Seoyun J. Kwon.
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| 264 |
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1 |
|a Hauppauge, N.Y. :
|b Nova Science Publishers,
|c c2011.
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| 300 |
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|a 1 online resource
|
| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
|
| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Mathematics research developments
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| 490 |
1 |
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|a Engineering tools, techniques and tables
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| 504 |
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|a Includes bibliographical references and index.
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| 588 |
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|a Description based on print version record.
|
| 505 |
0 |
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|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
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| 505 |
8 |
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|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
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| 505 |
8 |
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|a 9. ANN MODELING OF PHOTOOXIDATIVE PROCESSES 9.1. Fenton and Photo�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
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| 505 |
8 |
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|a 4.1. ANN in Cerebrovascular Diseases 4.2. Sleep Apnea -- 4.3. ANN in Neurodegenerative Disorders -- 4.3.1. Alzheimer�s Disease And Other Dementias -- 4.3.2. Parkinson�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
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| 505 |
8 |
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|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
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| 546 |
|
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|a English.
|
| 590 |
|
|
|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - North America
|
| 650 |
|
0 |
|a Neural networks (Computer science)
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| 650 |
|
2 |
|a Neural Networks, Computer
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| 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
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| 655 |
|
0 |
|a Electronic books.
|
| 655 |
|
4 |
|a Electronic books.
|
| 700 |
1 |
|
|a Kwon, Seoyun J.,
|e editor.
|
| 776 |
0 |
8 |
|i Print version:
|t Artificial neural networks
|d Hauppauge, N.Y. : Nova Science Publishers, c2011.
|z 9781617615535 (hardcover)
|w (DLC) 2010031737
|
| 830 |
|
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|a Mathematics research developments series.
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| 830 |
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|a Engineering tools, techniques and tables.
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