| 基于遗传神经网络算法的发动机性能预测 |
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| 引用本文： | 董恩国,张蕾. 基于遗传神经网络算法的发动机性能预测[J]. 起重运输机械, 2005, 0(9): 38-40 |
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| 作者姓名： | 董恩国 张蕾 |
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| 作者单位： | 1. 天津工程师范学院汽车工程系;天津大学机械工程学院
2. 天津工程师范学院汽车工程系 |
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| 摘 要： | 设计了遗传神经网络预测系统,通过融合分析废气成分的含量、发动机转速、氧传感器等信息预测发动机的工作性能。应用遗传算法的复制、交换、变异过程代替原BP网络的反向传播过程,并针对遗传算法的缺点进行了改进研究。实践证明这种遗传神经网络预测系统收敛速度快、推广性强,具有较高的实际应用价值。
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| 关 键 词： | 发动机 废气成分 工作性能 遗传神经网络算法 收敛速度 推广性 |
To forecast engine performance based on neural network and genetic algorithm |
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| DONG En-guo. To forecast engine performance based on neural network and genetic algorithm[J]. Hoisting and Conveying Machinery, 2005, 0(9): 38-40 |
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| Authors: | DONG En-guo |
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| Affiliation: | DONG En-guo |
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| Abstract: | A engine perfonnance forecasting system is developed based on neural network and genetic algorithm, which can forecast engine perfonnance by analyzing exhaust gas ingredient contents, engine rotation speed and oxygen sensor. In this system, generic reproduction, exchange and variation replaces back propagation of BP network and the adopted generic algorithm itself is improved. Actual applications show that this system features quick convergence, powerful generalization and high practical value. |
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| Keywords: | engine performance neural network generic algorithm forecast |
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