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bp_network
- 对两种类型的纹理图像,各选取30幅,计算灰度共生矩阵,提取特征向量;构件BP神经网络分类器,用每种类型的前20幅对分类器进行训练,后10幅用来测试分类效果。-Two types of texture image for each select 30 calculated GLCM, extracting feature vectors member BP neural network classifier, before use each type of 20 pairs classifier
DigitIdent
- 要求给定数字模式样本(7X9点阵,0-9共10个数字),设计一BP神经网络进行手写体数字识别。 网络只有一个隐含层,训练样本100个,测试样本300个 -Requirements for a given sample in digital mode (7X9 lattice, a total of 10 figures 0-9), design a BP neural network to recognize handwritten digits. Network has only on
Snake
- 要求给定数字模式样本(7X9点阵,0-9共10个数字),设计一BP神经网络进行手写体数字识别。 网络只有一个隐含层,训练样本100个,测试样本300个 -Requirements for a given sample in digital mode (7X9 lattice, a total of 10 figures 0-9), design a BP neural network to recognize handwritten digits. Network has only on
BP
- BP神经网络matlab完整代码,包括训练代码、测试代码,将图像直接导入网络进行训练即可- BP neural network matlab complete code, including the training code, test code, the image directly into the network is trained to
bptrain-and-test
- 创建并训练BP神经网络,同时测试BP神经网络的识别能力 为此编写了2个函数代码bptrain和bptest-Create and train BP neural network, BP neural network simultaneously test the ability to identify the two prepared for this function codes bptrain and bptest
Vehicle-License-Plate-Recognition
- 基于神经网络的车牌识别系统,matlab代码编写,训练bp网络,含训练过程和测试demo,可直接运行,也可以根据需要利用自己的数据集重新训练。-Vehicle License Plate Recognition
BPshouxieshuzishibie
- 基于BP神经网络的手写数字识别,总共有三个程序,分别是建立样本,进行训练,最后是检验测试-Based on the BP neural network handwritten numeral recognition, a total of three procedures, namely, the establishment of samples, training, and finally test