A guide to expert systems
Neural network architectures: an introduction
Neural network architectures: an introduction
An introduction to neural computing
An introduction to neural computing
Expert Systems Principles
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
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The efficiency of a network can be increased if the volume of computation is reduced. We know that in neural network the output is related to the input via the weight of input to hidden layers and hidden to output layers. That is in case the amount of layers are decreased the computational time will be reduced and we can achieve higher efficiency. In the method stated below we have tried to optimize the weights of the network so that we may achieve an output closer to the required one and then we moved forward to increase the efficiency of the network by reducing the number of layers so as to achieve the output in minimum required time with minimum calculation.