代码搜索：Learning
找到约 5,352 项符合「Learning」的源代码
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www.eeworm.com/read/152310/12122433
m nnd12vl.m
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============
www.eeworm.com/read/151851/12168508
m nnd12vl.m
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============
www.eeworm.com/read/336314/12451381
m nnd12vl.m
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============
www.eeworm.com/read/130698/14177463
m nnd12vl.m
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============
www.eeworm.com/read/128468/14295618
m perceptr.m
function [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
% PERCEPTR Perceptron learning rule searching for decision hyperplane.
% [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
%
www.eeworm.com/read/122236/14712333
m nnd12vl.m
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============
www.eeworm.com/read/215983/15031148
m nnd12vl.m
function nnd12vl(cmd,arg1)
%NND12VL Variable learning rate backpropagation demonstration.
%
% This demonstration requires the Neural Network Toolbox.
% First Version, 8-31-95.
%==============
www.eeworm.com/read/13911/287252
m knn.m
function [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% knn implementation
%
% USE : [ypred,tabkppv,distance]=knn(xapp,yapp,valY,X,k)
%
% xapp, yapp : learning data
% valY : all the Y value pos
www.eeworm.com/read/16793/690834
bashdb
#! /bin/bash
# bashdb - Bash shell debugger
#
# Adapted from an idea in O'Reilly's `Learning the Korn Shell'
# Copyright (C) 1993-1994 O'Reilly and Associates, Inc.
# Copyright (C) 1998, 1999, 2001 Ga
www.eeworm.com/read/481713/1293581
m perceptr.m
function [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
% PERCEPTR Perceptron learning rule searching for decision hyperplane.
% [alpha,theta,solution,t]=perceptr(X,J,tmax,t,alpha,theta)
%