搜索资源列表
Pattern-recognition-experiment1
- 基于多层感知器的DNA序列分类器的设计,里面有说明文档和源程序-Based on the DNA sequence of MLP classifier design, which has documentation and source code
ICCC2009
- This paper investigates a new face recognition system based on an efficient design of MLP classifier using each SIFT (Scale Invariant Feature Transform) keypoint as feature.
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
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
neural-MLP-classifier
- this program helps you simulate the classification task whit MLP (multilayer preceptron) neural network
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
code-(2)
- Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes. - The snapshot and bitmap of shapes are given: - Training shapes: shkt.bmp - Training p
HW4
- MLP neural network classifier
MLP_Identification
- MLP classifier, added to the MATLAB path, and then directly call the line