在单体称量方面，本论文运用函数链神经网络方法建模学习以补偿桥路的非线性误差；
In the monomer weighing aspect, this paper using the function chain neural network method to model building and study , Compensation electric bridge misalignment error.
利用所选定的旋转系统的参数值进一步训练该函数链的神经网络，从而构成分类网络。
This function link network is further trained using the parameter values of selected rotor systems, and the classifier network is formed.
这一模型含有线性状态方程和神经网络非线性模型，提出了库存成本、供应成本、生产水平等在内的供应链目标函数。
The plant function that includes inventory cost, supply cost and production level was presented. And the optimizing result of the supply chains was computed by using genetic evolutionary programming.
这一模型含有线性状态方程和神经网络非线性模型，提出了库存成本、供应成本、生产水平等在内的供应链目标函数。
The plant function that includes inventory cost, supply cost and production level was presented. And the optimizing result of the supply chains was computed by using genetic evolutionary programming.
应用推荐