资源列表
bp339
- 基本BP算法的Matlab程序，运行可以通过-basic algorithm Matlab, the running through
PSOLyapunov
- 用matlab编程实现计算粒子群算法中系统的Lyapunov函数与单个粒子的运行轨迹。
ACM
- ACM ACM试题 MultiplyDigits
ex16
- 花蝴蝶,利用HCM分群,模糊分群,hard-C mean
RCE
- RCE网络即“衰减库仑势”法，在每一个模式层单元都有一个对应的超球体半径可调整的参数。有与概率神经网络相同的拓扑结构。-RCE network that is " attenuated Coulomb potential" method, a model layer in each unit has a corresponding super-sphere radius of adjustable parameters. With the probabilistic neura
cop
- 利用竞争层网络对样本数据进行分类，利用输入样本数据对网络进行仿真-Using a competitive layer network to classify the sample data on the use of input sample data for simulation of network
FLCH3eg1
- 采用单神经元结构对两类样本进行分类，其中X为输入样本，T为目标向量。X=[-0.5,-0.5,0.3,0.1,-0.1,0.8,0.2,0.3 0.3,-0.2,-0.6,0.1,-0.5,1.0,0.3,0.9] T=[0,0,0,1,0,1,1,1]- The self learning function of the multilayer perceptron of an artificial neural network can be easily realized by the
find_all_cells_common_sub
- 运用最大公共子串法进行组学数据序关系分析-omic data patten anlysis
BP_J
- 基于BP神经网络的盲均衡算法，殊死差分析主程序-bp neural newtoorks,blind euqlaization ,residual eroor
BP-liziqun
- 基于粒子群优化算法的BP人工神经网络算法代码，使用matlab实现-Particle swarm optimization based on BP artificial neural network algorithm code, using matlab implementation
logistic_regression
- 利用逻辑回归实现二分类的matlab程序。随机生成训练样本，利用梯度下降法进行训练，并且在样本图上画出了分类边界。-Logistic regression for binary classification matlab procedures. Randomly generated training samples, the training using the gradient descent method, and is shown in Figure on the sample class
cnnsetup
- 建立一个深度卷积神经网络，该函数用于初始化神经网络的参数-Establish a depth of convolution neural network, this function is used to initialize the parameters of the neural network