1. Practical Hardware Implementation of Self-configuring Neural Networks
- Author
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Antoni Morro, Josep L. Rosselló, Vincent Canals, and Ivan de Paul
- Subjects
Physical neural network ,Spiking neural network ,Quantitative Biology::Neurons and Cognition ,Artificial neural network ,business.industry ,Computer science ,Time delay neural network ,Deep learning ,Chaotic ,Recurrent neural network ,Genetic algorithm ,Artificial intelligence ,Types of artificial neural networks ,business ,Computer hardware - Abstract
This work provides practical guidelines for an efficient hardware implementation of Neural Networks. Networks are configured using a practical self-learning architecture that iterates a basic Genetic Algorithm. The learning methodology is based on the generation of random vectors that can be extracted from chaotic signals. The proposed solution is applied to estimate the processing efficiency of Spiking Neural Networks.
- Published
- 2009
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