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trnn
- 神经网络训练，应用matlab7NN包，用一个隐藏层使用5折交叉验证。-Training the Neural Network This scr ipt is something that I did for a course at Uni. It uses the Neural Networking package provided with MatLab 7 unfortunately I m not sure if it s available with the earlier ve
FLDbasedFaceRecognitionSystem_v2
- 基于fisherface的人脸图像识别，采用lda降维的方法来识别人脸图像-This package implements a well-known FLD-based face recognition method, which is called Fisherface [1]. All functions are easy to use, as they are heavy commented. Furtheremore, a sample scr ipt is incl
shenjingwangluo
- 里面有两个实验，包括PPT和实验的代码，可以帮助一些想学习神经网络的朋友一个大忙。-We now have an easy scr ipt (easy.py) for users who know NOTHING about svm. It makes everything automatic--from data scaling to parameter selection. The parameter selection tool grid.py generates the follo
Introduction_to_artificial_neural_network_speech.r
- 基础性学习资料，人工神经网络技术入门讲稿，讲述ANN基本原理-Basic learning materials, artificial neural network technology entry scr ipt, describes the basic principles of ANN
CONSTR
- matlab开发环境下的一个使用的神经网络脚本程序，可对已知数据进行处理，高效，精度高。-Matlab development environment using a neural network scr ipt, the known data for processing, high efficiency, high precision.
RLS2
- Regularized least squares with two layers toolbox-To install the toolbox, simply unpack the package RLS2.zip into some folder and add that folder to the MATLAB path, by selecting Set Path... the File menu. To enable the export to PDF feature of t
MatLab-Script
- 基于启发式(Heuristic)的人工智能算法解决旅行商问题(Traveling Salesman Problem)。关键词：模拟退火，遗传算法。工作环境：matlab-An artificial intelligence algorithm based on heuristic to solve Traveling Salesman Problem(TSP). Key words: Simulated Annealing, Genetic Algorithm. Working environm
appkicztionfiledriver
- 几个利用uicontrol进行gui编程的matlab脚本文件：生成菜单修改fig颜色-A few of the GUI programming by using the uicontrol matlab scr ipt file: modified FIG color generated menu
sajss
- 包括脚本文件和函数文件形式，matlab编写的元胞自动机，针对EMD方法的不足。- Including scr ipt files and function files in the form, matlab prepared cellular automata, For lack of EMD.
tangtiu_v32
- Correlation diagram shown in detail the time domain and frequency domain, The entire training process BP neural network, Including scr ipt files and function files in the form.