资源列表
JYP
- 用于抑郁症状检测的人工神经网络程序，请大家参考，不是我编的-for the detection of depression symptoms artificial neural network program, please refer to is not my series
bp-ann
- 本程序为一个误差向后传播的三层前馈神经网络有指导的学习算法,用户可在文件中设置相应参数.-this program back to an error in transmission feed-forward neural network algorithm for the study guide, users can set up in the document corresponding parameters.
pso_2Dimension
- 该程序是采用MATLAB编写的一个二维优化算法，对于初学者很有用！-that the procedure was prepared by using MATLAB a two-dimensional optimization algorithm, very useful for beginners!
huanghou
- 在一个８×８的棋盘里放置８个皇后，要求每个皇后两两之间不相\"冲\"发现很少有关于C#的算法，这是最近写的一个八皇后的算法我写了很详细的注解。
linear304
- 非线性问题的线性拟合问题的源程序 非线性问题的线性拟合问题的源程序用MATLAB实现-nonlinear fitting a linear source of the nonlinear fitting the linear source with MAT LAB realization
kingview6.5
- 我有组态王设计工控的朋友可以参考,这个是KingView For Omron在青海碱业热电厂的应用方案说明,对制作实际的产品有帮助的-I Kingview industrial design can refer friends, this is KingView For Omron alkali industry in Qinghai Power Plant Program indicate that the actual production of the products help
ModularNet
- 本源代码是本人亲自编写的关于模糊神经网络模型的实现，它结合了模糊逻辑和神经网络的优点，具有全局逼近的功能。本代码提供了简单的界面，输入学习样本，可以进行预测并能输出预测结果。-source code is personally prepared by the fuzzy neural network model implementation, which was a combination of fuzzy logic and neural network advantages, and hav
adalineNN
- 比较详细的一个多层前馈网络程序，可扩展性比较强，-a multilayer feed-forward network programming, scalability relatively strong,
BAM__NN
- 一个Bidirectional Associative Memory的神经网络程序，希望对大家有用-a Bidirectional Associative Memory of neural network programming, useful for all
BoltzmanTSP
- Boltzman网络，以及对TSP问题的应用-Boltzman network, and to the application of TSP
Hopfield&Application
- 经典的hopfield神经网络的源程序，With with application in Ap:Autoassociative Memory Associative Recall of Images-classical neural network source, with application in With Ap : Autoassociative Associative Memory Recall of Images
newBPNN
- Back propagation neural networks and its Application: Time-Series Forecasting Prediction of the Annual Number of Sunspots -Back propagation neural networks and its Application : Time-Series Forecasting Prediction of the Annual Number of Sunspots