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ISCI
2002
120views more  ISCI 2002»
13 years 7 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak
EOR
2000
77views more  EOR 2000»
13 years 7 months ago
Training the random neural network using quasi-Newton methods
Training in the random neural network (RNN) is generally speci
Aristidis Likas, Andreas Stafylopatis
ISNN
2005
Springer
14 years 1 months ago
Select the Size of Training Set for Financial Forecasting with Neural Networks
Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
Wei Huang, Yoshiteru Nakamori, Shouyang Wang, Hui ...
PACT
2005
Springer
14 years 1 months ago
Parallel Implementation of Back-Propagation Neural Network Software on SMP Computers
Abstract. Experiments of neural network training procedure parallelization are conducted. Several styles of parallelization are described and compared, estimations of neural networ...
Victor G. Tsaregorodtsev
ICANN
2010
Springer
13 years 8 months ago
Reinforcement Learning Based Neural Controllers for Dynamic Processes without Exploration
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Frank-Florian Steege, André Hartmann, Erik ...