搜索资源列表
bp
- 利用BP算法实现加权系数的优化，实现误差最小-BP algorithm using the weighted coefficient is optimized to achieve the smallest error
CollectionOfBPNN
- BP神经网络的学习代码，是学习BP神经网络的入门代码，可以用于仿真实验-BP neural network to learn the code, BP neural network to learn the entry code can be used for simulation experiments
XOR3
- BP用於3D XOR問題的分類, matlab程式-BP for 3D XOR
bpbyq
- bp神经网络算法，用于设备故障类型的模式识别，此例为变压器故障类型识别，并有变压器仿真数据-bp neural network algorithm for equipment failure type of pattern recognition, in this case for the transformer fault type identification, and a transformer simulation data
my022
- BP算法在非线性分类问题中的简单应用，三层BP网络！-BP algorithm in non-linear classification problem in a simple application of three-layer BP network!
BP
- C语言编的BP网络，通过简单修改就可以使用了-bp ANN based on C language
example_bpnetronetwork
- BP算法例子：用一个五层的神经网络去逼近函数-example_bpnetronetwork_5layers
bp
- 一个解决异或问题的简单bp程序,通过提供(0,0)(0,1)等四组数据提供200次训练,是一个简单的入门程序-an simple bp program
bp
- 一种用于信息融合的bp算法（vc),初学者，里面有不对的地方，大家注意或者仔细看看啊-Bp one for information fusion algorithm (vc)
BP-neural-network-design-example
- BP神经网络的设计实例(MATLAB编程)-BP neural network design example (MATLAB Programming)
annexamples
- 很多神经网络的应用程序：如感知器，自适应线性元件，BP网络，霍普菲尔德网络，竞争网络...适合初学者。-Many neural network applications: such as sensor, adaptive linear element, BP network, Hopfield networks, competitive networks ... suitable for beginners.
BP
- 基于C++程序的神经网络Bp算法-Based on C++ programs Bp neural network algorithm for
BP_study
- 基于VC++6.0的MFC编程实现人工智能的BP异或算法-Based on VC++6.0 to MFC programming of artificial intelligence algorithm for BP XOR
bp
- 用bp人工神经网络来逼近非线性函数-With bp artificial neural network to approximate nonlinear functions. . . . . .
five
- 1.BP神经网络进行模式识别 2.用BP网络对非线性系统进行辨识 3.一个神经网络PID控制器 4.图像处理的PCA算法 5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
BP
- BP神经网络是指基于误差反向传播(Error Back Propagation)算法的多层前馈神经网络-tool-state classification using multi-layer perception neural networks
BP
- Belief Propagation (BP) Implementations gabp.m, run_gabp.m => Gaussian BP - parallel version asynch_GBP.m => Gaussian BP - serial version sparse_gabp.m, run_sparse_gabp.m => Gaussian BP - sparse version, optimized, tested on sparse
feedforward_with_GUI
- design and implementation of feedforward neural network with BP training algorithm.(include the GUI)
BP
- bpnet举例，因为BP网络的权值初始化都是随机生成，所以每次运行的状态可能不一样。 如果初始化的权值有利于训练，那么可能很快能结束训练。-bpnet For example, because the BP network, initialize the weights are randomly generated, so every time the state may not be the same as running. If the initialization of the wei