SIAM Journal on Applied Mathematics
On Langevin updating in multilayer perceptrons
Neural Computation
Accelerating neural network training using weight extrapolations
Neural Networks
The cascade-correlation learning: a projection pursuit learning perspective
IEEE Transactions on Neural Networks
Learning rules for neuro-controller via simultaneous perturbation
IEEE Transactions on Neural Networks
Objective functions for training new hidden units in constructive neural networks
IEEE Transactions on Neural Networks
Dynamic tunneling technique for efficient training of multilayer perceptrons
IEEE Transactions on Neural Networks
Fast initialization for cascade-correlation learning
IEEE Transactions on Neural Networks
A Modified Backpropagation Training Algorithm for Feedforward Neural Networks
Neural Processing Letters
An improved three-term optical backpropagation algorithm
International Journal of Artificial Intelligence and Soft Computing
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A new learning algorithm is proposed for training single hidden layer feedforward neural network. In each epoch, the connection weights are updated by simultaneous perturbation. Tunneling using perturbation technique is applied to detrap the local minima. The proposed technique is shown to give better convergence results for the selected problems, namely neuro-controller, XOR, L-T character recognition, two spirals, simple interaction function, harmonic function and complicated interaction function.