| 1. | Application and exploration of neural network control algorithm in mcgs
神经网络控制算法在工控软件中的应用研究 |
| 2. | The structure and characteristic of electronic throttle is introduced and a fuzzy neural network control algorithm based on gauss function is presented
本文介绍了电子节气门的结构和特点，提出了基于模糊高斯函数神经网络的电子节气门控制方法。 |
| 3. | The realization of communication between the microcomputer and plc ( programmable logical controller ) as well as the neural network control algorithm in this system is emphasized
详细地说明了异步电动机定位系统中上位机与plc （可编程序控制器）之间通信问题的解决以及神经网络控制算法的实现。 |
| 4. | This paper studies on the methods of traceing for both still and moving targets , and also focus on the study of pid algorithm , the fuzzy logic control algorithm , and the neural network control algorithm
本文研究了对静止目标的跟踪的方法，控制机器人跟踪目标的pid算法、学习算法、模糊控制算法和神经网络控制算法。 |
| 5. | Among all of these control algorithms the neural network control algorithm is emphasized . finally , the parallel approach method with which the missile can trace the target is used in he robot ' s tracing for a moving target
其中着重研究了神经网络控制算法。最后，研究了机器人对运动目标的跟踪，把导弹跟踪目标的平行接近法引入到了机器人对运动目标的跟踪之中。 |
| 6. | This dissertation is dedicated to solve the practical control problems in power station under the existence of thermal control system characterized by large delay and time varying . aiming at the present disadvantages of the neural network control algorithm , some improved means are researched and put forward . they are implicit generalized predictive control based on elman network , self - adaptive predictive function control based on improved elman network , nonlinear self - adaptive predictive function
这些改进方案既具有自适应控制和预测控制等现代控制理论的优点，又无需被控对象的数学模型，而且控制效果良好、适应性广，满足了非线性对象及多变量耦合系统等特性不同的生产环节对控制系统的要求。 |
| 7. | It is very important that the neural network control algorithm has the intelligence . training of a neural network is so important that it affects the quality of the neural network and the control performance of the controlled object . there is great advantage if the neural network is used in the tracing of the robot towards the given target
神经网络控制具有智能性。对于神经网的训练是很重要的，关系到神经网络以及对被控对象控制的好坏。神经网络控制用于机器人对目标的跟踪上面，具有很大的优点。 |
