Description
Neural Networks in Computer Intelligence provides basic concept, algorithms and analysis of important neural network models developed to date, with emphasis on the importance of knowledge in system design. The book bridges the gap between afrificial intelligence and neural networks. Key Features: This book poineers the effort to offer a unified perspective which can be used to integrate intelligence technologies. The broad coverage of the book and the emphasis on basic principles can accommodate the diverse background of readers. With little technical background. students, professionals, and practitioners can be guided through the book and develop a sufficient grasp of the material. The book provides a step-by-step introductioni to artificial neural networks and relates them to symbolic techniques where appropriate. After presenting basic neural network computational models in the beginning chapters, the test takes athe reader through nore advanced model organized around vital scientific and engineering tipics from perspective of computer intelligence. Neural Networks in Computer Intelligence formulates each important neural network algorithm in consistent and coherent format and includes end-of-chapter problems for enhancing the studnet’s understanding of both theory and application. About the Author: Li-Min Fu Limin Fu is a Professor of Computer Science and ELectrical Engineering at the University of Florida at Gainesville. He received his Ph.D in Electrical Engineering from Stanoford Universityand his M.D in Medicine with Highest honors from National Taiwan University. He is the Author of Many articels in Journals networks, artificial intelligence, machine Learning,expert systems, and genes. Dr. fu has actively participated in various grant and research studies supported by the national Science Foundation and other Funding agencies. Table of Content:Table of Contents: Chapter 1 Operational Amplifier Fundamentals Chapter 2 Circuits with Resistive Feedback Chapter 3 Active Filters: Part I Chapter 4 Active Filters: Part II Chapter 5 Static Op Amp Limitations Chapter 6 Dynamic Op Amp Limitations Chapter 7 Noise Chapter 8 Stability Chapter 9 Nonlinear Circuits Chapter 10 Signal Generators Chapter 11 Voltage References and Regulators Chapter 12 D-A and A-D Converters Chapter 13 Nonlinear Amplifiers and Phase-Locked Loops
