标准反向传播神经网络在分类应用中的不可预测性

The Unpredictability of Standard Back Propagation Neural Networks in Classification Applications

Management Science · 1995
被引 59
人大 A+FT50UTD24ABS 4*

中文导读

指出标准反向传播神经网络学习算法的弱点,警告其在管理科学领域的应用风险,并提出了改进性能的可能方法。

Abstract

This note offers an extension of Tam and Kiang (Tam, K. Y., M. Y. Kiang. 1992. Management applications of neural networks: The case of bank failure predictions. Management Sci. 38(7) 926–947.). First the weakness of the standard back propagation neural network learning algorithm is discussed, and then a warning is issued regarding applications of artificial neural networks in the management science field. Also suggested is a possible way of improving the performance of neural networks in managerial applications.

标准反向传播神经网络分类应用不可预测性管理科学