Artificial neural networks / Seoyun J. Kwon, editor.

Format:

Book

Contributor:

Kwon, Seoyun J.

Series:

Mathematics research developments series.

Engineering tools, techniques and tables

Mathematics research developments

Language:

English

Subjects (All):

Neural networks (Computer science).

Artificial intelligence.

Physical Description:

1 online resource (442 p.)

Place of Publication:

New York : Nova Science Publishers, c2011.

Language Note:

English

Summary:

An artificial neural network (ANN) is a type of artificial intelligence technology which implements more complex data-analysis features into existing applications by an intelligent, human-like application of knowledge. This title gathers the research from across the globe in the study of artificial neural networks.

Contents:

""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 ""

""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 ""

""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 ""

""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 ""

""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""

""APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN WIRE ELECTRO-DISCHARGE MACHINING (WEDM) ""

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-61761-697-4