By Cornelius T. Leondes
This quantity is the 1st diversified and finished remedy of algorithms and architectures for the belief of neural community structures. It provides strategies and various tools in several parts of this large topic. The e-book covers significant neural community structures constructions for attaining potent structures, and illustrates them with examples.
This quantity contains Radial foundation functionality networks, the Expand-and-Truncate studying set of rules for the synthesis of Three-Layer Threshold Networks, weight initialization, speedy and effective variations of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural structures with decreased VLSI calls for, probabilistic layout thoughts, time-based options, strategies for decreasing actual consciousness standards, and purposes to finite constraint problems.
A detailed and entire reference for a extensive array of algorithms and architectures, this e-book should be of use to practitioners, researchers, and scholars in commercial, production, electric, and mechanical engineering, in addition to in desktop technology and engineering.
- Radial foundation functionality networks
- The Expand-and-Truncate studying set of rules for the synthesis of Three-Layer Threshold Networks
- Weight initialization
- Fast and effective editions of Hamming and Hopfield neural networks
- Discrete time synchronous multilevel neural platforms with decreased VLSI demands
- Probabilistic layout techniques
- Time-based techniques
- Techniques for lowering actual recognition requirements
- Applications to finite constraint problems
- Practical recognition tools for Hebbian style associative reminiscence systems
- Parallel self-organizing hierarchical neural community systems
- Dynamics of networks of organic neurons for usage in computational neuroscience
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Extra resources for Algorithms and Architectures: Algorithms and Architectures v. 1, Pt. 1 (Neural Network Systems Techniques and Applications)
Algorithms and Architectures: Algorithms and Architectures v. 1, Pt. 1 (Neural Network Systems Techniques and Applications) by Cornelius T. Leondes