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BP神经网络
- 利用BP神经网络去做函数逼近和解决分类问题(BP neural network is used to do function approximation and solve classification problem)
chap7
- 通过BP神经网络训练实现分类，将三维的输入转化为固定的二维输出(Through the BP neural network training to achieve classification, the three-dimensional input into a fixed two-dimensional output)
lajifenlei
- 采用matlab语言利用神经网络对垃圾邮件进行分类(Using MATLAB language, using neural network to classify spam)
chapter1
- 语音特征信号分类，利用神经网络进行语音特征信号分类(Voice feature signal classification, the use of neural networks for voice feature signal classification)
image-sentiment-analysis
- 图片情感分析模型，基于卷积神经网络，以颜色特征为依据进行情感分类，图片情感极性分为积极和消极两类。(The model can extract the hue, brightness, contrast and other information from a picture to represent the emotional polarity of the image. The image sentiment analysis model is using convolution neura
BPforPen
- bp神经网络用于分类手写数字, 包含训练和测试代码(Example for classification of hand-write digits using BP network.)
CS_BP_OK-low
- 使用布谷鸟算法优化BP神经网络进行分类。替换数据即可使用。(The BP neural network was classified by using the cuckoo algorithm. Replacement data can be used.)
改进的PSOBP
- 使用改进的PSO算法优化BP神经网络是实现数据的分类。调试通过，替换样本数据即可使用(Optimizing BP neural network using improved PSO algorithm is the classification of data. Debug through, replace sample data can be used)
chapter1
- BP神经网络的数据分类——语音特征信号分类(Data classification of BP neural networks -- Classification of speech characteristic signals)
新建 WinRAR 压缩文件
- 为SOM神经网络程序 addon.m为距离函数和拓扑函数示例。(For the SOM neural network program Addon.m is an example of distance functions and topological functions.)
BPDLX
- 基于matlab的bp神经网络学习算法用于数据的分类--主要针对语音信号进行分类。本案例中选举了民歌、古筝、摇滚和流行音乐四类不同类型，用bp神经网络实现对这四类音乐的有效分类(Based on matlab bp neural network learning algorithm for data classification - mainly for voice signal classification. In this case, four different types of folk
Speech Recognition
- 程序中选取了民歌、古筝、摇滚和流行四类不同音乐 ，用 BP 神经网络实现对这四类音乐 的有效分类。(The program selected folk songs, zither, rock and popular four different music, with BP neural network to achieve the effective classification of these four types of music.)
BP2
- 利用神经网络实现信号数据的分类，已达到数据处理的目的(Using neural network to realize the classification of signal data has reached the purpose of data processing)
PCANET
- 特别好用的图像分类算法！！！输入图像 输出分类结果(A particularly useful algorithm for image classification!!! Input image output classification results)
新建文件夹
- 将260个样本中随机抽出部分学生的身高和体重作为训练样本（男女生都有），然后训练一个BP神经网络，最后将剩下的样本输入网络进行测试，检测BP网络的分类性能。260个样本的体重和身高在文档中。可以在男生样本中抽取70%用来训练，在女生样本中抽取70%用来训练。(The 260 samples were randomly selected from the part of the students' height and weight as the training sample (boys and
源程序
- 神经网络的30余例子matlab算法，包含书籍和例子(Matlab algorithm of neural network.)
darknet-master
- 是一种神经网络框架，在其基础上可以实现物体检测，图像分类，模式识别功能。(Darknet is a neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation. You can find the source on GitHub or you can read more about what Darknet can do righ
Project1
- 多层神经网络，在训练过程中采用自适应学习率Adagrad方法。可以实现回归或分类问题。(The adaptive learning rate Adagrad method is adopted in the training process of the multilayer neural network. Regression or classification problems can be achieved.)
test2-BP
- 采用BP神经网络设计男女生分类器。采用的特征包括身高、体重、是否喜欢数学、是否喜欢文学、是否喜欢运动共五个特征，BP神经网络包含一个隐层，隐层结点数为5。(Using BP neural network to design a classifier for male and female students. The features include height, weight, whether they like mathematics, whether they like literatur
libsvm-3.17
- 为了真实有效地提取网络安全态势要素信息，提出了一种基于增强型概率神经网络的层次化框架态势要素获取方法。在该层次化态势要素获取框架中，根据Agent节点功能的不同，划分为不同的层次。利用主成分分析(Principal Component Analysis, PCA)对训练样本属性进行约简并对特殊属性编码融合处理，按照处理结果改进概率神经网络(Probabilistic Neural Network, PNN)结构，以降低系统复杂度。然后以改进的PNN作为基分类器，结合自适应增强算法，通过基分类器反