Hardware Implementation of Intelligent Systems
The book offers an overview of a large spectrum of implementations for the computational intelligence based on neuro-fuzzy and artificial approaches. The clear and concise explanations help the reader to understand the hardware implementation aspects of the new computational intelligence paradigms....
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Heidelberg :
Physica-Verlag HD : Imprint: Physica,
2001.
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Έκδοση: | 1st ed. 2001. |
Σειρά: | Studies in Fuzziness and Soft Computing,
74 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 1: Evolvable Hardware and GA
- 1. Automated design synthesis and partitioning for adaptive reconfigurable hardware
- 2. High-performance hardware design and implementation of genetic algorithms
- 2: Fuzzy Logic Hardware Implementations
- 3. Hardware implementation of intelligent systems
- 4. High performance fuzzy processors
- 5. A digital fuzzy processor for fuzzy-rule-based systems
- 3: Neural Networks Hardware Implementations
- 6. Optimum multiuser detection for CDMA systems using the mean field annealing neural network
- 7. Analog VLSI hardware implementation of a supervised learning algorithm
- 8. pRAM: the probabilistic RAM neural processor
- 4: Algorithms for Parallel Machines
- 9. Parallel subgraph matching on a hierarchical interconnection network
- About the editors
- Index of terms.