进化学习神经网络的快速算法

Zhong-hua Xu, Weini Chen, W. Yang, Fengnian Liu
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引用次数: 4

摘要

神经网络已广泛应用于复杂问题的优化计算和求解。特别是,进化学习神经网络比其他神经网络具有更好的特性和更高的精度。但是,进化学习的计算速度慢以及进化学习神经网络的局部最优性严重影响了其应用。本文将梯度下降算法与进化学习算法相结合的快速算法可以有效地解决上述问题。这种神经网络得到了广泛的应用。
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Fast Algorithm of Evolutional Learning Neural Network
The neural networks have been widely applied to optimum calculation and solution of complicated problems. In particular, the evolutional learning neural network has better characteristic and higher precision than other neural networks. But the slow computational rate of evolutional learning and the local-optimum of the evolutional learning neural network seriously influence its application. In this paper, the fast algorithm combining the gradient descent algorithm with the evolutional learning algorithm can effectively solve above problems. This neural network has been extensively applied.
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