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首页> 外文期刊>Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on >Invariant Set of Weight of Perceptron Trained by Perceptron Training Algorithm
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Invariant Set of Weight of Perceptron Trained by Perceptron Training Algorithm

机译:感知器训练算法训练的感知器权重不变集

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摘要

In this paper, an invariant set of the weight of the perceptron trained by the perceptron training algorithm is defined and characterized. The dynamic range of the steady-state values of the weight of the perceptron can be evaluated by finding the dynamic range of the weight of the perceptron inside the largest invariant set. In addition, the necessary and sufficient condition for the forward dynamics of the weight of the perceptron to be injective, as well as the condition for the invariant set of the weight of the perceptron to be attractive, is derived.
机译:在本文中,定义并表征了由感知器训练算法训练的感知器重量的不变集合。可以通过找到最大不变集合内的感知器重量的动态范围来评估感知器重量的稳态值的动态范围。另外,得出使感知器的重量具有正向动力学成为注射性的必要和充分条件,以及使感知器的重量具有不变的集合具有吸引力的条件。

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