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» An Energy Backpropagation Algorithm
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ML
2007
ACM
192views Machine Learning» more  ML 2007»
13 years 4 months ago
Annealing stochastic approximation Monte Carlo algorithm for neural network training
We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
Faming Liang
IJIT
2004
13 years 6 months ago
Improving the Convergence of the Backpropagation Algorithm Using Local Adaptive Techniques
Since the presentation of the backpropagation algorithm, a vast variety of improvements of the technique for training a feed forward neural networks have been proposed. This articl...
Z. Zainuddin, N. Mahat, Y. Abu Hassan
FSS
2002
106views more  FSS 2002»
13 years 4 months ago
Comments on "A fuzzy backpropagation algorithm"
We comment on the learning properties of the fuzzy backpropagation algorithm introduced in Stoeva and Nikov (Fuzzy Sets and Systems 112 (2000) 27). c 2001 Elsevier Science B.V. Al...
Gareth Jones, Philippe De Wilde
GLOBECOM
2007
IEEE
13 years 11 months ago
Minimizing Distribution Cost of Distributed Neural Networks in Wireless Sensor Networks
Abstract—This paper presents a novel study on how to distribute neural networks in a wireless sensor networks (WSNs) such that the energy consumption is minimized while improving...
Peng Guan, Xiaolin Li