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Research and Development of LM Neural Network Prediction System for Grind-Hardening

机译:用于磨削强化的LM神经网络预测系统的研究与开发

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摘要

An improved neural network based on L-M algorithm has been applied to the prediction of the grind-hardening parameters against to the slow convergence rate of conventional BP neural network. And the the neural network model for grind-hardening is established. The neural network prediction system for grind-hardening process has been developed based on L-M algorithm. The functions of system is analyzed, particularly and some pivotal technology to realize the system are put forward.
机译:针对传统BP神经网络收敛速度慢的问题,将基于L-M算法的改进神经网络应用于磨削硬化参数的预测。建立了磨削硬化的神经网络模型。基于L-M算法开发了用于磨削硬化的神经网络预测系统。分析了系统的功能,并提出了实现系统的关键技术。

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