By Subana Shanmuganathan, Sandhya Samarasinghe
This booklet covers theoretical features in addition to fresh leading edge purposes of man-made Neural networks (ANNs) in typical, environmental, organic, social, commercial and automatic systems.
It offers contemporary result of ANNs in modelling small, huge and complicated platforms less than 3 different types, specifically, 1) Networks, constitution Optimisation, Robustness and Stochasticity 2) Advances in Modelling organic and Environmental Systems and three) Advances in Modelling Social and monetary Systems. The e-book goals at serving undergraduates, postgraduates and researchers in ANN computational modelling.
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Extra resources for Artificial Neural Network Modelling
9 Weighted hidden neuron activation for the random data samples 2 and 3 and corresponding correlation matrices 26 S. Samarasinghe y (a) (b) 200 150 Neu - 2 100 -2 - 50 8 6 4 2 Neu - 3 50 -4 y Neu - 1 2 4 x Neu - 4 Neu - 5 -4 - 100 -2 -2 Neu - 1 Neu - 2 2 4 x Neu - 3 Fig. 10 Weighted hidden neuron activation of a 3-neuron a and 5-neuron b networks and corresponding correlation matrices Figure 10 illustrate convincingly that the redundant neurons can be identiﬁed by their high correlation. By removing redundant neurons, both networks are left with 2 (optimum number) of neurons.
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Artificial Neural Network Modelling by Subana Shanmuganathan, Sandhya Samarasinghe