| 基于人工智能的创造性思维的模拟方法 |
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| 引用本文： | 张震,崔林立,刘芬.基于人工智能的创造性思维的模拟方法[J].苏州科技学院学报(自然科学版),2007,24(3):59-63. |
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| 作者姓名： | 张震 崔林立 刘芬 |
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| 作者单位： | 延安大学,计算机学院,陕西,延安,716000 |
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| 摘 要： | 针对创造性思维在人类思维中的重要作用，对创造性思维的模拟提供了创造计算的一种新方法。其中，逻辑思维采用了神经网络的BP算法来实现，直觉思维采用了Hopfield神经网络以及交叉变异等实现方法。论述了变异联想在直觉产生中的重要作用，并且建立了模拟直觉的计算模型。采用直觉与逻辑互补构成创造性思维的观点，构造了创造性思维的认知与计算模型，给出了创造性思维模型的计算实例。
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| 关 键 词： | Hopfield神经网络 逻辑 直觉 神经网络 |
| 文章编号： | 1672-0679（2007）03-0059-05 |
| 修稿时间： | 2006-10-12 |
Creative Mind Simulation Method Based on Artificial Intelligence |
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| ZHANG Zhen,GUI Lin-li,LIU Fen.Creative Mind Simulation Method Based on Artificial Intelligence[J].Journal of University of Science and Technology of Suzhou,2007,24(3):59-63. |
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| Authors: | ZHANG Zhen GUI Lin-li LIU Fen |
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| Abstract: | A novel method of creative mind is proposed based on creative mind which plays an important in man mind. According to the basic theory of Hopfield neural networks, the process of intuition producing is described. The associative Hopfield model sets up all associative bridge between experience and intuition, The Hebb learning law realizes the process of experience accumulating, and the models of cross and variation vividly simulate the calculating model and put forward the calculating formula for intuition producing, Finally, all example of mathematics provision is given to verify the model. |
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| Keywords: | hopfield neural networks logic intuition neural networks |
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