Abstract
An algorithm for determining the optimal initial weights of feedforward neural networks based on linear algebraic methods is presented. With the optimal initial weights, the initial network error is enormous smaller. In one of the examples presented in this letter, the achieved accuracy is sufficient for direct application. If further smaller network error is required, the networks can be trained using backpropagation algorithm.
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