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97
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NPL
2000
135views more  NPL 2000»
14 years 11 months ago
Towards the Optimal Learning Rate for Backpropagation
A backpropagation learning algorithm for feedforward neural networks with an adaptive learning rate is derived. The algorithm is based upon minimising the instantaneous output erro...
Danilo P. Mandic, Jonathon A. Chambers
110
Voted
ESANN
2003
15 years 1 months ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
IJON
2006
111views more  IJON 2006»
14 years 11 months ago
Dynamic pruning algorithm for multilayer perceptron based neural control systems
Generalization ability of neural networks is very important and a rule of thumb for good generalization in neural systems is that the smallest system should be used to fit the tra...
Jie Ni, Qing Song
84
Voted
IPPS
2006
IEEE
15 years 5 months ago
A combined genetic-neural algorithm for mobility management
This work presents a new approach to solve the location management problem by using the location areas approach. A combination of a genetic algorithm and the Hopfield neural netwo...
Javid Taheri, Albert Y. Zomaya