资源列表
nnprune
- This function applies the Optimal Brain Surgeon (OBS) strategy for ％ pruning neural network models of dynamic systems. That is networks ％ trained by NNARX, NNOE, NNARMAX1, NNARMAX2, or their recursive ％ counterparts.-This function applies the
MATLAB_GPS_example
- matlab开发的GPS信号simulator，并且包括mdd文件，方便可靠，请勿转载-matlab developed GPS signal simulator, and includes MDD documents, convenient and reliable, please do not reprint
ChaosToolbox1p2_trial
- 计算混沌系统的lyapunov指数和poincare截面-Calculation of chaotic systems lyapunov index and cross-section poincare
nnfpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error for network ％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive ％ counterparts. ％ ％ [FPE,deff,varest,H] = nnfpe(method,Ne
marq
- ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is possible to use regularization by ％ weight decay. Also pruned (ie. not fully connected) networks can ％ be trained. ％ ％ Given a set of cor
getgrad
- Produces a matrix of derivatives of network output w.r.t. ％ each network weight for use in the functions NNPRUNE and NNFPE.-Produces a matrix of derivatives of network output wrt each network weight for use in the functions NNPRUNE and NNFPE.
kpredict
- k-step ahead predictions determined by simulation of the ％ one-step ahead neural network predictor. For NNARMAX ％ models the residuals are set to zero when calculating the ％ predictions. The predictions are compared to the observed output. ％
fpe
- This function calculates Akaike s final prediction error ％ estimate of the average generalization error. ％ ％ [FPE,deff,varest,H] = fpe(NetDef,W1,W2,PHI,Y,trparms) produces the ％ final prediction error estimate (fpe), the effective number of
batbp
- Batch version of the back-propagation algorithm. ％ Given a set of corresponding input-output pairs and an initial network ％ [W1,W2,critvec,iter]=batbp(NetDef,W1,W2,PHI,Y,trparms) trains the ％ network with backpropagation. ％ ％ The activatio
envelopedetection
- Demonstration scr ipt for envelope detection. The message signal is +1 for 0 < t < t0/3, -2 for t0/3 < t < 2t0/3, and zero otherwise.-Demonstration scr ipt for envelope detection. The message signalis+ 1 for 0 <t <t0/3,-2 for t0/3
fm
- Matlab demonstration scr ipt for frequency modulation.供刚接触到matlab的朋友使用-Matlab demonstration scr ipt for frequency modulation. For刚接触to friends using matlab
shijuzhenchengfa
- 用于计算两矩阵相乘，在程序运行时输入矩阵A，B的行列数-Used to calculate the two matrices in the program to run when the input matrix A, B the ranks of a few