搜索资源列表
bp
- BP神经网络分类iris数据，对函数y=sqrt（x）的逼近，里面包含了iris数据。-BP neural network classification of iris data, the function y=sqrt (x) approximation, which contains the iris data.
BP
- 一个关于BP神经网络分类算法的matlab程序，附带数据，很好用-About BP neural network classification algorithm matlab program, accompanying data, easy to use
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)
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)
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
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)
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.)
BP
- 实现简单的二值分类，是一个简单的小程序，可以参考(Implement a simple binary classification)
BP神经网络的数据分类-语音特征信号分类
- bp网络用于数据分类，一类语音特征信号的分类，以供参考学习(BP network is used for data classification, and a class of speech feature signals is classified for reference learning)
BP.m
- BP神经网络建模归一化数据处理神经网络训练分类以及遗传算法优化的BP神经网络函数拟合(BP neural network modeling normalized data processing neural network training classification and genetic algorithm optimization BP neural network function fitting)
BP
- BP 神经网络能够实现数据的分类，预测。(BP neural network realizes data classification and prediction.)
神经网络
- BP神经网络,模拟人脑神经网络的生物过程，可用作分类、预测、等各方面(neural network for predict)
BP
- 应用BP神经网络完成分类，希望对各位有帮助(Application of BP neural network to complete classification)
BP
- 利用BP神经网络实现多酚类预测，代码为二分类与六分类(Using BP Neural Network to Realize Polyphenols Prediction with Two and Six Codes)
故障诊断与容错控制课程设计报告
- 针对滚动轴承这种非平稳振动信号采用的小波包分解的方法来检测故障的存在，运用神经网络来实现故障的分类，还结合D-S理论融合了多个传感器的诊断结果，提高了故障诊断的准确性并通过实验仿真证实。(This course's job is to use the wavelet packet decomposition method for non-stationary vibration signals of rolling bearings to detect the presence of fault
齿轮箱BP
- 运用BP神经网络对齿轮箱故障进行分类，能很好地对故障分类。(Classification of gearbox faults using BP neural network)
Matlab实现
- 使用两种不同神经网络预测鸢尾花的分类，对两种结果进行比较(Prediction of the classification of irises by two neural networks)
花的分类问题
- 神经网络是一组连接的输入/输出单元，其中每个连接都与一个权重相关联。在学习阶段，通过调整这些权重，能够预测输入元素的正确类标号(A neural network is a set of connected input/output units, where each connection is associated with a weight. In the learning phase, by adjusting these weights, the correct class label o
Matlab神经网络方面案例分析
- BP神经网络的数据分类——语音特征信号分类,可以帮助到学习Matlab的人们
NNTest
- 神经网络实验，BP神经网络实现水果数据的分类(Neural network experiment, BP neural network to achieve the classification of fruit data)