| 基于CFNN的电火花加工工艺效果预测模型 |
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| 引用本文： | 赵艳秋,崔红. 基于CFNN的电火花加工工艺效果预测模型[J]. 微计算机信息, 2007, 23(19): 307-308,304 |
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| 作者姓名： | 赵艳秋 崔红 |
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| 作者单位： | 1. 266033,青岛,青岛理工大学自动化工程学院
2. 266071,青岛,中国科学院海洋研究所 |
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| 摘 要： | 针时常规神经网络和模糊神经网络的不足,介绍了一种具有快速算法的补偿模糊神经网络,并根据电火花加工的工艺特点及其复杂性,建立了基于补偿模糊神经网络的电火花加工工艺效果预测模型,可实现指定加工条件下的工艺效果预测.仿真结果显示了其良好的预测精度,其性能优于常规模糊神经网络.
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| 关 键 词： | 电火花加工 补偿模糊神经网络 预测模型 |
| 文章编号： | 1008-0570（2007）07-1-0307-02 |
| 修稿时间： | 2007-05-132007-06-15 |
Predictive Model of Technological Effect for EDM Based on Compensatory Fuzzy Neural Network |
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| ZHAO YANQIU,CUI HONG. Predictive Model of Technological Effect for EDM Based on Compensatory Fuzzy Neural Network[J]. Control & Automation, 2007, 23(19): 307-308,304 |
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| Authors: | ZHAO YANQIU CUI HONG |
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| Affiliation: | ZHAO YAN QIU CUI HONG |
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| Abstract: | In order to overcome the drawbacks of conventional Artificial Neural Networks (ANN) and Fuzzy Neural Networks (FNN), the Compensatory Fuzzy Neural Network (CFNN) with fast learning algorithms was introduced. Then the predictive model of techno- logical effect for EDM based on CFCC was developed according to the technological characteristics of EDM and its complexity, and it can precisely predict the technological effect for specified machining conditions. The simulation results show that the model has good predictive precision and is superior in the performance to the ones based on the conventional FNN. |
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| Keywords: | EDM CFNN Predictive Model |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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