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神经网络在Vroom-Jago决策风格选择模型中的应用
Application of Neural Network to the Vroom-Jago contingency model of leadership behavior
【摘要】 研究了用人工神经网络技术 (ANN) 构建基于Vroom-Jago模型的应用软件,为决策者提供了一种简便高效的智能化决策工具. 通过对神经网络的再训练,可以对该模型作进一步的修正和扩展.
【Abstract】 The Vroom-Jago contingency model of leadership behavior is of great importance in behavioral science of decision-making. The problem how the software based on Vroom-Jago model and Artificial Neural Network would be developed, is depicted and one kind of convenient and highy efficient computer-aided decision-making tool for decision makers is provided. Through the retraining of the neural network, Vroom-Jago’s model can be revised and expanded further.
【关键词】 决策;
领导风格;
人工神经网络;
反向传播网络;
【Key words】 decision-making; leadership style; artificial neural network; back-propagation network;
【Key words】 decision-making; leadership style; artificial neural network; back-propagation network;
- 【文献出处】 上海理工大学学报 ,Journal of University of Shanghai For Science and Technology , 编辑部邮箱 ,2002年03期
- 【分类号】TP183
- 【被引频次】1
- 【下载频次】90