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| One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying... This resource introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Training techniques, such as...
The book consists of three parts. The first part introduces concepts and algorithms in optimization theory, which have been used in neural... For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science....
This text is a beginning graduate-level introduction to neural networks, focusing on current theoretical models, examining what these models... In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and...
This book covers neural networks with special emphasis on advanced learning methodologies and applications. It includes practical issues of... Since World War II, a group of scientists has been attempting to understand the human nervous system and to build computer systems that...
The second edition of this widely-acclaimed book presents a concise overview of the concepts of neural-network models and the techniques of... Neural networks are a computing paradigm that is finding increasing attention among computer scientists. In this book, theoretical laws and...
This volume brings together a collection of top international researchers in the field of artificial neural networks with the = common theme... Evolutionary Learning Algorithms for Neural Adaptive Control is an advanced textbook, which investigates how neural networks and genetic...
"Applications of Pulse-Coupled Neural Networks" explores the fields of image processing, including image filtering, image segmentation,...
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