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Artificial neural networks /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hauppauge, N.Y. :
Nova Science Publishers,
c2011.
|
| Colección: | Mathematics research developments series.
Engineering tools, techniques and tables. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | EBSCO_ocn780443402 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 100816s2011 nyua ob 001 0 eng | ||
| 010 | |a 2020676885 | ||
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| 019 | |a 923653610 |a 961544754 |a 1162000273 | ||
| 020 | |a 9781617616976 |q ebook | ||
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| 020 | |z 9781617615535 |q hardcover | ||
| 020 | |z 1617615536 | ||
| 029 | 1 | |a DEBSZ |b 472597086 | |
| 029 | 1 | |a AU@ |b 000051574614 | |
| 035 | |a (OCoLC)780443402 |z (OCoLC)923653610 |z (OCoLC)961544754 |z (OCoLC)1162000273 | ||
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| 082 | 0 | 0 | |a 006.3/2 |2 22 |
| 049 | |a UAMI | ||
| 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 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 | |
| 505 | 8 | |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 | |
| 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. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 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 | |
| 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 | 0 | |a Mathematics research developments series. | |
| 830 | 0 | |a Engineering tools, techniques and tables. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=439593 |z Texto completo |
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| 938 | |a EBSCOhost |b EBSC |n 439593 | ||
| 938 | |a ebrary |b EBRY |n ebr10654736 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL3017765 | ||
| 994 | |a 92 |b IZTAP | ||