摘要
将人工神经网络（ＡＮＮ）技术引入振动钻削领域，研究适用于变参数振动钻削过程仿真与参数优化的神经网络模型和算法。实验表明， ＡＮＮ优化精度较高，为振动钻削研究提供了新的分析方法与途径。
This paper proposes a procedure for ANN in vibration drilling, mainly studying the model and algorithm of ANN which are applied to processing simulation and parametric optimum of varying-parameters vibration drilling. The experiments show that the ANN systems are of high precision. It also provides a new study and analysis method for the study of vibration drilling.
出处
《吉林工业大学自然科学学报》
CSCD
2000年第2期10-14,共5页
Natural Science Journal of Jilin University of Technology
基金
国家自然科学基金资助项目!(59675059)
关键词
神经网络
BP算法
振动钻削
仿真
参数优化
artificial neural network
BP algorithm
vibration drilling
simulation
