代码搜索：Probabilistic
找到约 236 项符合「Probabilistic」的源代码
代码结果 236
www.eeworm.com/read/383906/8911847
m pnndemo.m
% PNNDEMO -- Probabilistic Neural Network Demo m-file
% Ron Shaffer
% Naval Research Laboratory
% 3-21-96
%
fprintf ('Probabilistic Neural Network Demo \n')
fprintf ('Ron Shaffer \n')
fprintf (
www.eeworm.com/read/163251/10168567
help pnn.help
"pnn.cpp" Help File
The purpose is to demonstrate the use
of probabilistic neural networks. A
binomial function is defined and then
the function minima is determined.
~Panayiotis Thomakos
www.eeworm.com/read/280638/10301621
m pnn1.m
%% PNN Classification
% This demonstration uses functions NEWPNN and SIM.
%
% Copyright 1992-2002 The MathWorks, Inc.
% $Revision: 1.9 $ $Date: 2002/03/29 19:36:07 $
%%
% Here are three two-el
www.eeworm.com/read/349415/10828317
help pnn.help
"pnn.cpp" Help File
The purpose is to demonstrate the use
of probabilistic neural networks. A
binomial function is defined and then
the function minima is determined.
~Panayiotis Thomakos
www.eeworm.com/read/416415/11030545
m pnndemo.m
% PNNDEMO -- Probabilistic Neural Network Demo m-file
% Ron Shaffer
% Naval Research Laboratory
% 3-21-96
%
fprintf ('Probabilistic Neural Network Demo \n')
fprintf ('Ron Shaffer \n')
fprintf (
www.eeworm.com/read/310630/6343726
m demopnn1.m
%% PNN Classification
% This demonstration uses functions NEWPNN and SIM.
%
% Copyright 1992-2002 The MathWorks, Inc.
% $Revision: 1.9 $ $Date: 2002/03/29 19:36:07 $
%%
% Here are three two-e
www.eeworm.com/read/259886/11759872
m demopnn1.m
%% PNN Classification
% This demonstration uses functions NEWPNN and SIM.
%
% Copyright 1992-2002 The MathWorks, Inc.
% $Revision: 1.9 $ $Date: 2002/04/14 21:28:08 $
%%
% Here are three two-e
www.eeworm.com/read/221024/14771014
html http:^^www.cs.washington.edu^homes^hanks^projects^prob-planning.html
Date: Tue, 10 Dec 1996 15:18:00 GMT
Server: NCSA/1.4.2
Content-type: text/html
Last-modified: Wed, 28 Feb 1996 00:55:40 GMT
Content-length: 3146
Probabilistic Planning
www.eeworm.com/read/135243/13948822
m demopnn1.m
%% PNN Classification
% This demonstration uses functions NEWPNN and SIM.
%
% Copyright 1992-2002 The MathWorks, Inc.
% $Revision: 1.9 $ $Date: 2002/03/29 19:36:07 $
%%
% Here are three two-e
www.eeworm.com/read/389692/8507446
m probor.m
% PROBOR 妋棪揑 OR
%
% Y = PROBOR(X) 偼丄X 偺楍偺(戙悢榓偲偟偰傕抦傜傟偰偄傞)妋棪揑 OR 傪弌椡
% 偟傑偡丅X 偑 X = [A; B] 偺傛偆偵2峴偱偁傞応崌丄Y = A + B - AB 偱偡丅X
% 偺峴偑1偮偺傒偱偁傞応崌丄Y = X 偱偡丅
%
% 椺戣
% x = (0:0.1:10);
% figure('Name