Overview
Neural Networks in a Softcomputing Framework presents a thorough review of the most popular neural-network methods and their associated techniques. 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 - powerful tools for neural-network learning - are introduced. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model. 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.
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Details
- ISBN-13: 9781846283024
- ISBN-10: 1846283027
- Publisher: Springer
- Publish Date: April 2006
- Dimensions: 9.5 x 6.44 x 1.5 inches
- Shipping Weight: 2.25 pounds
- Page Count: 566
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