BMAC的翻译

Application of Higher-Order CMAC Neural Networks, the BMAC to tbe Modelling of Robotic Dynamics The method of robotic dynamics to derive the dynamic equations of the swing of load is accurate and convenient and it has good regularity.

机器人动力学模型的BMAC多网络模拟采用机器人动力学方法推导起重机吊重摆振动力学方程具有准确、方便、规律性强的优点。

BMAC neural network has been established by the introduction of B-splines into CMAC neural network. Ways of establishing BMAC and the specialties of BMAC output and its receptive field functions are described in details.

论述了将n阶B样条函数运用到CMAC网络中形成BMAC网络的过程，并讨论了BMAC网络感受域函数和网络输出特性。

In function learning, BMAC approaches faster and is more accurate than CMAC. At the same time, rules of influence of the studying parameters and weights initialization in function learning are obtained.

在函数学习中通过与CMAC网络的对比，体现出了BMAC网络具有逼近速度快，精度高的特性，同时也得出了学习参数及网络权值初始化对学习速度及逼近精度的影响规律。