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Neural Networks in a Softcomputing Framework
By Ke-Lin Du
0 - Default Title
Description
This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.
Neural Networks in a Softcomputing Framework is an ideal textbook for graduate students and researchers in this field because in addition to grasping the fundamentals, they can discover the most recent advances in each of the popular models. The systematic survey of each neural-network model and the exhaustive list of references will enable researchers and students to find suitable topics for future research. The important algorithms outlined also make this textbook a valuable reference for scientists and practitioners working in pattern recognition, signal processing, speech and image processing, data analysis and artificial intelligence.
Product details
Edition:
1
Number of Pages:
566
Release Date:
2006-04-18
Publication Date:
2006-04-18
Publisher:
Springer London
Languages:
Original:
English
ISBN10:
1846283027
ISBN13:
9781846283024
GPSR Manufacturer Reference:
Weight:
1029 g
Height:
170 cm
Width:
244 cm
Thickness:
45 cm
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