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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
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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. 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.
出处 《上海理工大学学报》 CAS 北大核心 2002年第3期302-305,共4页 Journal of University of Shanghai For Science and Technology
关键词 决策 领导风格 人工神经网络 反向传播网络 decision-making leadership style artificial neural network back-propagation network
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