| 1. | Generating and acquiring arbitrary dunction signals based on gpib
任意函数信号的产生与采集 |
| 2. | Arbitrary function generators drive design based on technology of ivi
技术任意函数发生器驱动设计 |
| 3. | 30mhz arbitrary function generator
任意函数信号产生器 |
| 4. | Arbitrary function synthesizer
任意函数合成器 |
| 5. | Arbitrary function generator
任意函数产生器 |
| 6. | You can select a different function by double - clicking any function in the before or after list to make it the called function
您可以通过双击前后列表中的任意函数选择一个不同函数，使其成为已调用的函数。 |
| 7. | Not only is ann a large scope and parallel nonlinear dynamics system , but also it has several advantages such as distributed information storage , parallel processing and self - learning
Ann具有信息的分布式存贮，并行处理和自学习能力等优点。采用适当的网络， ann可以逼近任意函数。 |
| 8. | As genetic algorithm has vivid mathematical character and is suitable for any function , it has broaden application and to study the algorithm has great significance
由于具有鲜明的生物特征和适用于任意函数等特点，遗传算法的应用非常广泛，已经在很多领域发挥了重要的作用。对遗传算法的研究具有重要的意义。 |
| 9. | Based on the result above , the open loop control strategy is bringed forward in the paper . we use the function approximation property of neural network to obtain the function through studying using neural network method . and then realize the position control
利用前向bp网络能够对任意函数以任意精度逼近的特点，对开环控制策略中难以确定的函数进行学习，实现两关节的任意位置控制。 |
| 10. | First , it applies fuzzy logical in the abstract and non - linear dealing ability ; second , it applies neural net in the self - study and any functions approaching ability ? through combining above two ability , it can find a best p i d non - linear controlling regularity and achieve controlling on line of the unknown subject etco therefore , it not only can strengthen robust and intelligence of the system , but also make design simple and easily be requiredo in addition , the thesis also does many works on procedure of upper - computer and basic - controller and the whole system designed can be put into work immediately
根据啤酒发酵过程具有大惯性、时滞和非线性等特点，本论文还提出一种基于神经网络的模糊自适应pid控制方案，它一方面利用模糊逻辑的“概念”抽象能力和非线性处理能力，另一方面利用神经网络的自学习能力和任意函数的逼近能力，通过两者的有机结合寻找一个最佳的p 、 i 、 d非线性组合控制规律，以实现对未知对象进行在线控制，并具备适应控制环境变化的能力和自学习能力等。 |
