▍1. GA
说明: 遗传算法路径规划程序,有一定的注释,初学者可借鉴。(Genetic algorithm path planning process)
说明: 遗传算法路径规划程序,有一定的注释,初学者可借鉴。(Genetic algorithm path planning process)
BP神经网络的具体实现过程,以及在谐波检测中的应用,有具体示例(BP neural network implementation process, as well as in the harmonic detection applications, there are specific examples of)
利用Matlab6.5神经网络工具箱,以一组动态冲击实验数据为例建立网络模型。实验数据共有13组,将其中对曲线形状有关键性影响的10组数据作为网络的训练数据,另外3组作为测试数据用以验证网络的预测性能。( Use Matlab6.5 Neural Network Toolbox, a dynamic impact test data, for example the establishment of the network model. Experimental data, a total of 13 groups, which have a crucial impact on the shape of the curve of 10 sets of data as the training data of the network, the other three groups as test data to verify the prediction performance of the network. )
安捷伦矢量网络分析仪 -非常好的参考资料,对于掌握仪器的使用,非常有价值,内部资料(Agilent vector network analyzer- a very good reference for the control equipment use, very valuable, internal data)
自己写的一个bp程序 效果还不错 但还有地方需要改进(Himself wrote a bp procedure effect is good but there are places that need improvement)
网络实验设计报告:Socket下的点对点通信实现采用Java语言编写网络上的点对点的Socket程序。该程序必须能在服务器端实现监听连接请求,客户端实现发送连接请求的功能,在建立连接后进行发送和接收数据的功能:(Experimental Design Network Report: Socket Communication point under the Java language using point to point on the network Socket program. The program must be able to achieve on the server listens for connection requests, the client sends a connection request to achieve the function, in establishing a connection to send and receive data:)
阅读对象:初,中级黑客技术爱好者。本书的木马篇,工具篇篇,实战篇,主要为小刀会原创文章,文章以“入门到精通,基础+技巧”适用各类别读者。(Read objects: early, intermediate hacker technology enthusiasts. Trojans book chapter, tools, Sylvia, actual papers, mainly knives will original articles, the article to " Introduction to the proficient, basic+ skills" apply to all categories of readers.)
倒立摆是一种复杂、时变、非线性、强耦合、自然不稳定的高阶系统,许多抽象的控制理论概念都可以通过倒立摆实验直观的表现出来。基于人工神经网络BP算法的倒立摆小车实验仿真训练模型,其倒立摆BP网络为4输入3层结构。输入层分别为小车的位移和速度、摆杆偏离铅垂线的角度和角速度。隐含层单元数16个。输出层设置为1个输出单元。输入层采用Tansig函数,隐含层采用Logsig函数,输出层采用Purelin函数。用Matlab 6.5数值计算软件对模型进行学习训练,并与线性反馈控制逻辑算法对比,表明倒立摆控制BP算法精度高、收敛快,在非线性控制、鲁棒控制等领域具有良好的应用前景。 (Inverted pendulum is a complex, time-varying, nonlinear, strong coupling, the natural instability of the high-end systems, many of the abstract concept of control theory to pass through the inverted pendulum experiment demonstrated intuitive. Based on artificial neural network BP algorithm inverted pendulum experiment simulation training model car, the Inverted Pendulum BP network input 3-layer structure of 4. Input layer, respectively, for the car s displacement and speed of deviation from the plumb line placed under the angle and angular velocity. Hidden layer unit number 16. Output layer is set to an output unit. Tansig function using input layer, hidden layer Logsig function used, the output layer Purelin function. Numerical calculation using Matlab 6.5 software for learning and training model, and linear feedback control logic algorithm comparison, show that the inverted pendulum control of BP algorithm and high precision, fast convergence in nonlinear control, robust control and )
RBF神经网络_讲稿,详细讲述了RBF神经网络(_ RBF neural network script, a detailed account of the RBF neural network)
模拟人的思维特点,提出一种新型智能控制器:仿人逻辑预测控制器. 该控制器融合了基于泛布尔代数的逻辑控制器和基于模型的预测控制器的特点, 是一种多值逻辑混合动态系统. Matlab仿真表明, 该控制器在模型匹配时性能良好, 在模型失配时依然能满意运行, 表现出鲁棒性强, 超调量小的特点. 与其它类型人工智能控制器相比, 该控制器结构简单, 物理背景明确, 数学概念清晰, 便于在工业控制领域推广应用.(Simulation of the characteristics of people' s thinking, a new intelligent controller: humanoid logic controller prediction. The controller is based on the integration of pan-Boolean algebra of logic controllers and model-based predictive controller features, is a multi-valued logic hybrid dynamic systems. Matlab simulation show that the controller performance in the model match well when the model mismatch can be satisfied with the operation still showed robust, ultra-tune the characteristics of a small amount. with other types of artificial intelligence controller ratio, the controller structure is simple and clear physical background, the concept of math clear, easy in the field of industrial control application.)
简介的神经网络和人工智能。并用径向基函数神经网络实现了某函数,以及MATLAB仿真遗传算法MATLAB仿真(Introduction of the neural network and artificial intelligence. And RBF neural network to achieve a certain function, as well as genetic algorithm MATLAB simulation MATLAB simulation)
说明: 人工神经网络的MATALAB文件,要用的人可以下载,物品也是下别人的。;(Artificial Neural Network MATALAB documents, use can be downloaded items is under someone else)
本文档包括一级,二级,三级倒立摆的设计过程,有了这个神经网络的大作业就好应付了(This document, including at the primary, secondary and tertiary design process inverted pendulum, with the neural network to cope with large operations like the)
随着网络技术的发展,许多灯光设备厂家纷纷推出了网络产品,控制台,调光柜,电脑灯...剧院系统网络化的势头来势汹汹!ESTA-ACN是目前最被业界看好的下一代网络控制协议。(With the development of network technology, many lighting manufacturers have been offering network products, consoles, dimmer cabinets, computer network lamp ... Theater of the momentum back fast! ESTA-ACN is currently the most promising next generation of the industry network control protocol.)
there are some other approaches, such as Schedule Network Templates, dependency Determination, and Applying Leads and Lags. They are also use with PDM and ADM together for sequencing activities. Based on the different size or type of project, the managers should choose suitable approaches.(there are some other approaches. such as Schedule Network Templates, Determination dependency. and Applying Leads and Lags. They are also use wi th PDM and ADM together for sequencing activiti es. Based on the different size or type of projec t, the managers should choose suitable approache s.)
遗传算法解决TSP问题 已知n个城市之间的相互距离,现有一个推销员必须遍访这n个城市,并且每个城市只能访问一次,最后又必须返回出发城市。如何安排他对这些城市的访问次序,可使其旅行路线的总长度最短?(genetic algorithm known TSP n cities between the distance, must present a salesman traveled this n cities, and each city can only be visited once, Lastly, it also must return to the starting city. How to arrange for him to visit these cities priorities, it can travel routes of the total length of the shortest?)
基于遗传算法的BP神经网络气象预报建模,20世纪90年代以来,国内外在大气学科中开展了很多有关神经网络预报建模和气候分析等应用研究。然而随着神经网络方法在大气科学领域研究的不断深入,研究人员发现神经网络方法在实际业务天气预报应用中存在一个重要的问题(BP neural network modeling of weather forecasting, in the 20th century since the 1990s, domestic and international disciplines in the atmosphere among many of the neural network forecasting and climate modeling analysis applied research. However, with the neural network method atmospheric science research in the field continued to deepen, the researchers found neural network method in practical business applications exist forecast an important issue)