Abstract

We discuss a random search algorithm with self-learning designed for solving a problem of training of feedforward neural networks and compare it with gradient algorithms for neural network training with regard to criteria of accuracy and computational complexity.

中文翻译：

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用于神经网络训练的自学习随机搜索算法

摘要

我们讨论了一种具有自学习的随机搜索算法，旨在解决前馈神经网络的训练问题，并将其与用于神经网络训练的梯度算法在准确性和计算复杂性方面进行比较。