搜索资源列表
Predict_duffing_with_bp
- 利用matlab自带的BP神经网络工具箱对duffing混沌背景模型进行相空间重构与预测，程序中已经给出duffing函数，主函数中也给出了主要注释，方便大家学习交流。-BP' s own use matlab neural network toolbox for duffing chaotic background model and prediction of phase space reconstruction, the program has been given duffing
learn-perceptron-true-table
- 利用自学习的感知机神经网络实现一个真值表。-The use of self-learning machine to achieve a perception of truth table.
Neuron-model-code
- 模拟人类实际神经网络的数学方法问世以来，人们已慢慢习惯了把这种人工神经网络直接称为神经网络。神经网络在系统辨识、模式识别、智能控制等领域有着广泛而吸引人的前景，特别在智能控制中，人们对神经网络的自学习功能尤其感兴趣，并且把神经网络这一重要特点看作是解决自动控制中控制器适应能力这个难题的关键钥匙之一。 -Since the actual neural network simulation of human mathematical methods available, it has grad
Haykin-PPT--exercise-solution
- 神经网络与机器学习--Simon Haykin中的PPT的练习题答案-Neural Networks and Machine Learning- Simon Haykin exercises in answer to the PPT
exRBFNN
- 用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。-For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general underst
BP-neural-network-training
- BP神经网络训练程序，可计算误差与学习速率，训练采用的拟合函数为Y=sin(X)\n，-BP neural network training procedures, fitting function Y = sin (X) \ n, calculate the error and learning rate,
BPA
- 神经网络和遗传算法的相关学习，主要是基于C语言编写代码利用误差反向方法学习神经网络的权重-Related study, of neural network and genetic algorithm is mainly based on C language to write code using the method of error reverse learning of the neural network weights
SOAN
- 基于搜索者优化算法实验神经网络权重的学习，主要基于C语言实现-Neural network weights optimization algorithm based on seekers experiment study, mainly based on C language implementation
examples-of-fuzzy-neural-network
- 学习模糊神经网络的例子，能帮助初学者自助学习。做一个参考-the examples of fuzzy neural network
Neural-network-toolbox-function
- Matlab神经网络工具箱函数涉及的网络模型有，感知机网络、线性神经网络、BP神经网络、径向基神经网络、自组织神经网络、学习向量量化神经网络、Elman神经网络、Hopfield神经网络、自适应滤波和控制系统网络等。-Matlab neural network toolbox function involving network model have a perceptron and linear neural network, BP neural network, RBF neural net
ELM_materialacode
- 极限学习机是一种神经网络仿真，比BP,SWM学习速度更快，参数设置更容易--Extreme Learning Machine is a kind of neural network simulation, compared with BP, SWM learning faster, easier to set parameters
dbn DBN
- dbn DBN深度学习(波尔兹曼机DBM学习，一种新型神经网络)的matlab源码,可用于模式识别，图像处理等领域。
MATLAB-code---bp-neural-network-code
- matlab 通用神经网络代码学习了一段时间的神经网络,总结了一些经验,在这愿意和大家分享一下, 希望对大家有帮助,也希望大家可以把其他神经网络的通用代码在这一起分享-Universal learning neural network matlab code neural networks for some time, summed up some experience in this and are willing to share with you, we want to help, I h
Classical-neural-network-code
- 这是人工神经网络的matlab源代码。希望大家能够多多上传文件，进行分享，互相学习-This is artificial neural networks matlab source code. Hope you can upload, share, learn from each other
elm
- 极限学习机elm的神经网络模型的源代码，还有实例-Extreme learning machine: a new learning scheme of feedforward neural networks
imc_elm
- 用一种新颖的前馈神经网络——极限学习机，实现非线性系统的内模控制-Using a novel feed-forward neural network- extreme learning machine, implement internal model control of nonlinear systems
Hopfield-matlab-code
- 离散Hopfield神经网络的联想记忆的数字识别matlab代码，相互学习-Discrete Hopfield associative memory neural networks matlab digital identification code, learn from each other
matlab-neural-net
- matlab神经网络30个案例分析上的全部源码，适合学习，研究，或者工作用-All source code matlab neural network analysis on 30 cases for study, research, or work with
elm
- 极限学习机[1](Extreme Learning Machine, ELM)是在单隐层神经网络(Single hidden Layer Feed-forward Neural networks, SLFNs)基础上提出的一种高效的学习方法。不同于传统的神经网络， ELM 中所有的隐层参数均为随机产生，而不需要烦琐的迭代过程；其输出权值则通过求解矩阵的广义逆得到。因此，相较于传统的SLFNs，在保证学习性能的基础上，ELM 的训练速度得以显著提升。-Extreme Learning Ma
IRIS-nn
- 有导师学习神经网络的分类——鸢尾花种类识别，需要的同学可以下载-Learning from the classification neural network- iris species identification, students need to be downloaded to try