搜索资源列表
NeuralNetwork_RBF
- RBF型神经网络在分类与回归中的应用，有详尽的说明和指导(RBF neural network is used for classification and regression)
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)
vgg16
- 这是vgg16神经网络基于python的实现，可以用来识别图像中出现的物体。(This is the vgg16 neural network based on Python implementation, can be used to identify objects in the image.)
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)
chapter5
- 基于BP_Adaboost的强分类器设计——公司财务预警建模(Design of strong classifier based on BP_Adaboost -- modeling of company financial early-warning)
SVM
- MATLAB神经网络43个案例分析 第13个案例的源代码及数据集(MATLAB neural network 43 case analysis, thirteenth cases of the source code and data set)
DeepLearningImageClassificationExample
- 使用2012Imagenet数据大赛深度学习网络为架构的卷积神经网络，可进行多类数据分类任务(Using the 2012Imagenet Data Contest Deep Learning Network for Architectural Convolution Neural Networks, Multiple Class Data Classification Tasks)
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
fenleiyuce
- matlab关于概率神经网络的分类预测应用程序(Matlab classification prediction applications on Probabilistic Neural Networks)
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)
chapter3
- 使用遗传算法的神经网络分类，可以较好的实现(Neural network classification using genetic algorithms)