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Stanford researchers create a high-performance,low-energy artificial synapse for neural network computing
Stanford researchers high-performance low-energy artificial synapse neural network computing
2017/2/20
For all the improvements in computer technology over the years, we still struggle to recreate the low-energy, elegant processing of the human brain. Now, researchers at Stanford University and Sandia ...
Agent Based Fuzzy ARTMAP Neural Network for Classifying the Power Plant Performance
Adaptive Resonance Theory Neural Network Fuzzy Logic Control
2008/9/30
In this paper, we present a "Fuzzy ARTMAP" neural network model on a power station in Al-Daura Refinery for the multiagent
process as a classifying system to improve the process real-time performance...