搜索资源列表
BackPropagatio
- 神经网络是一种神经网络学习算法，全称基于误差反向传播算法的人工神经网络。-Back Propagation
BPsimulator
- 一个自己写的BP神经网络学习模拟仿真软件-Write their own learning of BP neural network simulation software
psobp
- 该文件是使用粒子群算法来求解BP神经网络饿最优解，进而对样本数据训练学习-The document is the use of particle swarm optimization to solving hunger BP neural network the optimal solution, and then the training sample data for the study
BP
- 一个BP神经网络的源程序，是matlab实现的，是研究人工神经网络的很好的学习资料-A BP neural network source code, is the realization of matlab is to find good artificial neural network learning information
Adaptive-linear-element
- 掌握用Matlab人工神经网络工具箱设计自适应线性元件的方法，掌握人工神经网络学习和训练过程；理解误差曲面；分析比较自适应线性元件的不足。-Master with Matlab artificial neural network toolbox design adaptive linear element method, to master artificial neural network learning and training process understand the error
elm_example
- 极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。-Extreme Learning Machine (extreme learn
T-S-FNN
- 用遗传算法优化参数的递归T-S模糊神经网络学习算法，值得一看。-Parameter optimization using genetic algorithm recursive TS fuzzy neural network learning algorithm, worth a visit.
BP_neualnetwork_matlab
- BP神经网络学习方法与步骤，很详细，从基础开始-The BP neural network learning methods and steps, very detailed, starting the foundation
mlclass-ex4
- 神经网络学习，基于matlab仿真，机器学习相关知识-ex4.m- Octave scr ipt that will help step you through the exercise ex4data1.mat- Training set of hand-written digits ex4weights.mat- Neural network parameters for exercise 4 submit.m- Submission scr ipt that sends you
BP-recognize
- 神经网络学习相关：基于BP网络实现模糊字母识别 设计一个标准BP学习算法训练网络，实现对加噪字母的识别 -Neural network learning relevant: fuzzy identification letters design a standard BP learning algorithm to train the network based on BP network, adding noise to achieve recognition of the lette
MATLABalfx
- 《MATLAB神经网络30个案例分析》的程序，基于工程实践和算例的分析，对神经网络学习很有帮助-Programs of MATLAB neural network analysis of 30 cases, based on engineering practice and examples analysis. It is very helpful to learn the neural network
googleTensorFlow官方文档中文版
- google-第二代神经网络开源TensorFlow-官方文档中文版---v1.2(Google- second generation neural network open source TensorFlow- official documents in Chinese)
DeepLearnToolbox-master
- 可以进行深度学习，卷积神经网络的一种开源代码，可以对图像数据库自动提取特征(You can do deep learning)
2-rain
- 基于深度学习神经网络模型，对降雨量进行训练和预测(Rainfall prediction based on depth learning)
高风代码
- 本内容是有关机器学习的包含贝叶斯分类器，随机森林，支持向量机，神经网络，logistic多元回归等(The contents of this paper are machine learning, including Bayesian classifier, random forest, support vector machines, neural network, logistic multiple regression and so on)
Chapter_2.1.1.3
- 贝叶斯算法、决策树、神经网络等算法的简单python实现(Bias algorithm, decision tree and neural network)
bp2
- 用MATLAB 实现对不同种类的饮料或者果汁的分类，通过训练学习，再进行预测，可以得到分类的正确率(The classification of different kinds of drinks or fruit juice is realized by MATLAB, and the correct rate of classification can be obtained by training, learning and forecasting)
3
- 反向传播，机器学习，神经网络算法，一起学习学习(bp(backpropgation algorithm))
CNN学习算法
- 该文件主要包含了CNN卷及神经网络Matlab算法，该算法主要用于完成机器视觉学习(The paper mainly includes CNN volume and neural network Matlab algorithm, which is used to complete machine vision learning.)
23_time_series_prediction
- 用 Python 机器学习，时间序列模型预测， 循环神经网络(Python Machine Learning, Time Series Model Prediction, recurrent Neural Network)