资源列表
1-Pattern_Recognition_Using_NAK_RBF
- 有关神经网络的code，来源于论文《A Novel Adaptive Kernel for the RBF Neural Networks》-About the neural network code, the paper " A Novel Adaptive Kernel for the RBF Neural Networks"
2-RBFNs
- 有关神经网络的code，来源于论文“Efficient Object Tracking Using K means and Radial Basis Function”-About the neural network code, the paper " Efficient Object Tracking Using K means and Radial Basis Function"
Perceptron
- 神经网络感知机程序，包含hardlim等函数。-Perceptron neural network program, including hardlim and other functions.
BP
- BP神经网络的非线性系统建模-非线性函数拟合案例-Nonlinear System Modeling BP neural network- a nonlinear function fitting case
chan
- TDOA定位chan算法python实现-TDOA location algorithm python achieve chan
PRMLT-1.0
- 模式识别和机器学习工具箱，十分有用。此版本为第一版。-Pattern recognition and machine learning toolbox very useful. This version is the first edition.
C-neural-network111
- C语言实现神经网络，用最基本简单的BP神经网络-neural network c
bp
- 神经网络程序，3输入1输出，包括了神经网络的归一化，训练，预测等整个过程。-Neural network program, 3 inputs and one output, including neural networks normalization, training, and so the whole forecasting process.
SVM
- 支持向量机分类程序，使用高斯核函数，SMO顺序最优化算法，为学习SVM提供参考-SVM program, using a Gaussian kernel, SMO sequence optimization algorithm to provide a reference for learning SVM
Shark-3.0.0
- SHARK是一种快速、模块化、功能丰富的开源C++机器学习库。它提供了线性和非线性优化的方法，基于内核的学习算法，神经网络，和其他各种机器学习技术（见下面的特征列表）。它作为一个强大的工具箱，已经在现实世界有很多应用和研究。SHARK依赖于Boost和 cmake。它兼容Windows，Solaris，MacOS X和Linux。根据GNU通用公共许可证授权许可。-SHARK is a fast, modular, feature-rich open-source C++ machine lea
demo_ann
- 神经网络基础知识实例程序。已知输入和权值，求神经网络的输出。-demo for understanding ANN
KrigingInter
- 克里格插值法在MATLAB上的实现及应用-Kriging Implementation and Application of the MATLAB