LVQ学习矢量化算法源程序
This directory contains code implementing the Learning vector quantization
network. Source code may be found in LVQ.CPP. Sample training data is found
in LVQ1.PAT. Sample test data is found in LVQTEST1.TST and LVQTEST2.TST. The
LVQ program accepts input consisting of vectors ...
The objective of this projectis to design, model and simulate an autocorrelation
generator circuit using 4-bit LFSR. the register and LFSR will used D flip-flop and some
gates. By the autocorrelation concept, there should be 2 same length vectors, for calculating
the autocorrelation , we have to des ...
performs one of the matrix-vector operations y := alpha*A*x + beta*y, or y := alpha*A *x + beta*y, where alpha and beta are scalars, x and y are vectors and A is an
m by n matrix
function y_cum = cum2x (x,y, maxlag, nsamp, overlap, flag)
％CUM2X Cross-covariance
％ y_cum = cum2x (x,y,maxlag, samp_seg, overlap, flag)
％ x,y - data vectors/matrices with identical dimensions
％ if x,y are matrices, rather than vectors, columns are
％ assumed to correspond to independent real ...
％CHECKBOUNDS Move the initial point within the (valid) bounds.
％ [X,LB,UB,X,FLAG] = CHECKBOUNDS(X0,LB,UB,nvars)
％ checks that the upper and lower
％ bounds are valid (LB <= UB) and the same length as X (pad with -inf/inf
％ if necessary) warn if too long. Also make LB and UB vectors if not
％ a ...
This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output is
directed to the sc ...
多项式曲线拟合 任意介数 Purpose - Least-squares curve fit of arbitrary order
working in C++ Builder 2007 as a template class,
using vector<FloatType> parameters.
Added a method to handle some EMathError exceptions.
If do NOT want to use this just call PolyFit2 directly.
usage: Call PolyFit by ...
k-meansy算法源代码。This directory contains code implementing the K-means algorithm. Source code
may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS
program accepts input consisting of vectors and calculates the given
number of cluster centers using the K-means algorithm. Output i ...
