Enhancement of motor speed identification using artificial neural networks

In this study have been utilized a modified version of ant colony optimization to improve the thresholds neural networks and weights by including therank-weight approach. Furthermore, technique easily overcome drawbacks speed up convergence into minimum while training backpropagation network. The improved optimization-backpropagation neural.not only has capacity map extensively, but it also enhances operating efficiency noticeably, according simulation findings. results revealed that sensor replaced with rw-optimized back propagation network-speed identification motor’s determined using approach result is satisfactory.