资源列表
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,
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
vb-GA
- 用VISUAL BASIC写的遗传算法模板,可以实现一元高次方程的最大值或最小值的求解-with VISUAL BASIC to write the genetic algorithm template, one yuan can achieve high equation maximum or minimum Solution
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
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
peizhun
- 图像配准－GUI界面，最优化算法，互信息尺度，POWELL.m附属子程序，PSO.m附属子程序，对图像进行“平移”和“旋转”-Image Registration - GUI interface, optimization algorithms, mutual information scale, POWELL.m subsidiary subroutine, PSO.m subsidiary subroutine, the right image "translation"
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。
11vs11Client
- 机器人足球仿真11vs11源代码（精简版）-11vs11 robot soccer simulation source code (version)
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!
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.
sir
- 这是粒子滤波的实现,可以实现基本的粒子滤波的算法,也就是用MARLAB实验SIR的程序.-This is the realization of particle filter can achieve basic particle filter algorithm, which is used MARLAB SIR experimental procedures.
HandDetect
- 用于手势跟踪的c代码，可以用于智能人机交互、手语识别、理解等-gestures for tracking the c code, which can be used intelligent human-computer interaction, sign language recognition, understanding, etc.