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myworkonnnet
- 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial
MLP2
- 我ANN的大作业，里面有三个程序，里面有测试训练数据主要关于MLP-ANN big operation, there are three procedures, and they test data on the training MLP
MLPNetworksimulation.rar
- Matlab 下 BP 神经网络的举例及详细说明。美国大学的一个实验。 虽然是 PDF文件，但程序可以直接粘贴下来运行。,The process to train and test a designed MLP neural network : 1) We make training patterns and test patterns. 2) A network architecture should be defined by newff MATLAB function with th
nnukf
- 基于无迹卡尔曼滤波对MLP的神经网络的应用-using the UKF to training a MLP NN
backpropagation_class
- A MLP code with backpropagation training algorithm designed for classification problems.
backpropagation
- A MLP code with backpropagation training algorithm designed for aproximation of functions problems.
chengxu
- 用matlab实现神经网络多层感知器单样本训练BP算法。-Neural network using matlab to achieve a single sample training MLP BP algorithm.
mlp-new.cpp
- 多层前馈神经网络学习算法训练与测试才c＋＋代码-Multilayer feedforward neural network learning algorithm training and testing before c++ code
blackmer_ICWN_11
- The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern
MLP
- 这是利用神经网络进行二分类的程序，训练过程采用bp.工程中包含训练文件和测试文件。-This is for two neural network classification procedure, the training process using bp. Project includes training documents And test files.
ekfmlp
- On-line extended Kalman filter training for MLP with hyperbolic tangent activation.
ICISTongLiu
- This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong robust
AMLPP2zipN
- 我ANN的大作业，里面有三个程序源码，里面面有测试训练数据主要关于MLP 可直接使用。 -ANN for jobs, there are three program source code, the inside surface testing training data on the MLP can be used directly.
letter_recog
- 此示例演示如何训练随机树分类推进分类器，或MLP，或Knearest，或Nbayes，或支持向量机-This example demonstrates how classified propulsion classifier training random tree, or the MLP, Knearest, or Nbayes or support vector machines
Pattern-Recognition2
- 清华模式识别第二次作业，采用dataset2.txt 数据作训练样本，采用身高与体重特征进行性别分类，建立最小错误贝叶斯分类器；2、采用身高体重数据作为特征，以 dataset2.txt 作为训练数据，用 Fisher 线性判别方法设计分类器；3、从多层感知器、SVM、近邻法选择一种方法，进行上述的分类实验；-Tsinghua second operation pattern recognition using dataset2.txt data for training samples, us
codes
- this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function
q21
- this code is about mlp 1 layer neural network with back propagation training algorithm by using geradient descence for nonlinear system. input data are random.-this code is about mlp 1 layer neural network with back propagation training algorithm by
PSO-3
- pso algorithm for optimize and training MLP neural network
MLP
- 使用MLP多层神经网络来训练MNIST数据集-Use MLP multi-layer neural network training data set MNIST
mlp
- 人工智能导论作业，用mlp方法实现的水杯图片分类，生成loss的下降趋势图(Homework of AI. Using MLP to classify images of cups and bottles, and plot loss of the training process.)