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The two critical steps of choosing an initial neural network configuration and then choosing a collection of network weights so that the network best approximates a given training set can be formulated as a linear program. The inequalities necessary to construct the linear program are subsets of Boolean symmetric functions, naturally implementable with threshold logic devices. The construction bypasses...
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