混沌算法在成型机节能中的应用

电火花成型机加工工艺复杂,加工过程中受影响的因素众多,其中电参数的选择对加工结果有很大的影响,但影响规律很难用精确的数学模型来表达.采用基于混沌神经网络算法的Bp网络对电火花成型机加工工艺效果进行了预测,结果表明:该预测模型能有效地避免BP算法在能量的最小化过程中陷入局部极小化的问题而得到最优解,最终能够很好地映射出电参数与该加工网络电火花加工工艺效果之间的关系.

Application of Chaotic Algorithm in Molding Machine Energy Saving

The mould electric discharger machining(MEDM) process is very complex,and there are a lot of factors which affect the process of manufacture,especially the electricity parameter.So it is difficult to express the model of art factitious craftwork effect of mould electric discharger machining well and truly.But by adopting the BP network based on chaotic neural network algorithm,we can effectively avoid the appearance of the minimum energy,and get the optimization answer.Furthermore,the result shows the model...