| 基于贝叶斯正则化网络的绿色创新战略选择 |
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| 引用本文： | 罗烨,李秉璋,柳益君,蔡秋茹.基于贝叶斯正则化网络的绿色创新战略选择[J].计算机与数字工程,2010,38(8):126-128,132. |
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| 作者姓名： | 罗烨 李秉璋 柳益君 蔡秋茹 |
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| 作者单位： | 江苏技术师范学院计算机科学与工程学院,常州,213001 |
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| 基金项目： | 江苏省高校自然科学基础研究基金项目，江苏技术师范学院青年基金项目 |
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| 摘 要： | 科学、准确地进行企业绿色技术创新战略选择对环境保护和企业长期持续发展具有重要意义。文章提出将基于贝叶斯正则化神经网络用于企业绿色技术创新战略选择,并通过MATLAB神经网络工具对其进行模拟计算。实验结果表明了该方法的有效性。
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| 关 键 词： | 神经网络 贝叶斯正则化 绿色技术 战略选择 |
Strategy Selecting of Green Technological Innovation with Bayesian Regularization Neural Network |
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| Luo Ye,Li Bingzhang,Liu Yijun,Cai Qiuru.Strategy Selecting of Green Technological Innovation with Bayesian Regularization Neural Network[J].Computer and Digital Engineering,2010,38(8):126-128,132. |
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| Authors: | Luo Ye Li Bingzhang Liu Yijun Cai Qiuru |
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| Affiliation: | Luo Ye Li Bingzhang Liu Yijun Cai Qiuru(School of Computer Science and Engineering,Jiangsu Teachers University of Technology,Changzhou 213001) |
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| Abstract: | Neural network based on bayesian regularization algorithm is applied to the problem of corporation strategy selecting of green technological innovation.Matlab Software and its neural network toolbox are used to establish the model.The experiment results show that the neural network model for corporation strategy selecting is fast and accurate. |
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| Keywords: | neural network bayesian regularization green technology strategy selecting |
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