Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence

This paper presents a novel architecture for on-chip neural network training using particle swarm optimization (PSO). PSO is an evolutionary optimization algorithm with a growing field of applications which has been recently used to train neural networks. The architecture exploits PSO algorithm to e...

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Bibliographische Detailangaben

Hauptverfasser:	Farmahini-Farahani, A., Fakhraie, S.M., Safari, S.
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	Artificial neural networks Backpropagation algorithms Computer architecture Hardware Multi-layer neural network Network-on-a-chip Neural networks Neurons Particle swarm optimization Partitioning algorithms
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