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Highlights from
M-files for "Neural Networks"

P=randperm(n) USAGE: P=randperm(N)
W=learn(W,F,Y,i,t,theta,eta);
W=learn(W,F,Y,i,t,theta,eta);
[O,E]=rephop(W,X);
[O,E]=repshop(W,X);
[O,W,e]=perceptr(W,F,iter);
[O,W,e]=prpercep(W,F,Y,t,iter...
[O,W,e]=prpercep(W,F,Y,t,iter...
[P,a,Q]=paq(X,k);
[P,a,Q]=paq(X,k);
[W,Z,O,E]=backprop1(t,x,nh,et... USAGE
[W,Z,O,E]=backprop1(t,x,nh,et... USAGE
[W,Z,O,E]=bckpgen(t,x,nh,f,fp... USAGE
[W,Z,O,E]=bckpgen(t,x,nh,f,fp... USAGE
[W,e]=autoass(X,eta,it)
[W,e]=heterass(X,T,eta,it)
[W,e]=heterass(X,T,eta,it)
[Xt,nj]=hop2(W,X,n); USAGE [o, ni] = hop2(Weight,Stimuli,n_iterations)
[Xt,nj]=hop2(W,X,n,u0); USAGE [o, ni] = hop2(Weight,Stimuli,n_iterations,u0)
[d,coord]=eucldist(n);
[d,coord]=eucldistha(n);
[f]=normaliz(F);
[tour,d,dt,Dmin,Dmax,Dmoy,W]=...
[w,d]=tsp(d)
[x]=initsp(n,uo);
[x]=tanh2(y);
[x]=tanh2(y);
[y]=argtanh(x);
derlogis(t,temp);
derlogis(t,temp);
distmin(d,t) USAGE function [Dmin,Dmax,Dmoy]= distmin(d,t)
eigen(X);
eigen(X);
f=fact(N)
logist(t,temp);
logist(t,temp);
makestim;
showdigt(F,i)
tlogist(x,t);
tlogist(x,t);
tourdist(n,t) Calcule la distance
tourdist2(d,n,tour) USAGE function [dt]= tourdist2(d,n,tour)
w=tsp[d] TSP
y=gauss(x); USAGE y=gauss(x)
y=gauss(x); USAGE y=gauss(x)
bptest.m
bye.m
bye.m
cls.m
cls.m
plotper.m
tesshop2.m
testauto.m
testback.m
testbackprop.m
testbpgn.m
testbpgn.m
testhete.m
testhete.m
testhop.m
testper.m
testper.m
testshop.m
testsp.m
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3.9 | 20 ratings Rate this file 43 Downloads (last 30 days) File Size: 59.02 KB File ID: #1491

M-files for "Neural Networks"

by Herve Abdi

14 Mar 2002

M-files for demos, exercises, and implementations.

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File Information

Description

This set of programs correspond to demos, exercises, and implementations of algorithms described in
Abdi H. (1994) Les Reseaux de Neurone (in French) and
in (in English)
Abdi, Valentin, Edelman (1999) Neural Networks. Sage
These include:
Linear auto and hetero associators, radial basis function networks, backpropagation. etc.

For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1390.jsp

MATLAB release

MATLAB 6.0 (R12)

Tags for This File
Everyone's Tags	autoassociator, backpropagation, heteroassociator, neural and fuzzy systems, radial basic
Tags I've Applied
Add New Tags	Please login to tag files.

Comments and Ratings (30)
18 Mar 2002	MIchelle Posamentier
18 Mar 2002	Michelle Toresen
07 Dec 2002	Naresh Sai	Good
09 Jun 2003	sanae sara	progmame coressond au demos et exercisses
30 Jun 2003	cheng yuhu	good
05 Nov 2003	sorin pop
11 Mar 2004	ghania filali	APPLICATION DE RESEAUX DE NEURONES (pmc)
09 Apr 2004	vic julian
07 May 2004	zaydi makram	application des réseaux de neurones en nmarketing et programation de ces réseaux sur matlab
02 Nov 2004	Arturo Mora	Es un gran apoyo a quienes empezamos It's a great support to beginnersin this area
10 Jan 2005	Arezou Mousavi
21 Jan 2005	DANIEL RODRIGUEZ	ITS VERY INTERESTING I WILL DO A HOMEWORK WITH THIS
26 Feb 2005	Gajanan Malwatka	Its very intersting i can get depth from it and can do furher work with much more interst
14 Sep 2005	minakshi ghodke	it is very interstining i will do my work
25 Dec 2005	erdem demirbas
02 Jan 2006	badr soltan
19 Jan 2006	mimi gara
20 Mar 2006	trinh vanha	je suis debutant,desole.
07 May 2006	abbou dido	je vais rependre apres l'essais
23 May 2006	Chio In Ieong	Very good...
06 Sep 2006	ALBAN IMMANUEL
05 Oct 2006	Ma Longhua	Thanks!
03 Jan 2007	Vishnuvenkatesh Dhage	nice demo and example are helpful
03 Apr 2007	walid ismain	reseau de neurone
31 Aug 2007	daddou hosni
23 Oct 2007	kayhan zrar	ok
24 Oct 2007	nich liams	réseau de neurones
25 Aug 2008	AHMED SEDDAR	hi every boby
25 Feb 2009	jeffrey soe	i try to run the program,it show aerror as below libmwblas: load error: caxpy Caught std::exception Exception message is: caxpy how to solve it?
20 May 2010	mia	Hai.. can anybody send to me the book in pdf version. thanks a lot

Please login to add a comment or rating.

Tag Activity for this File
Tag	Applied By	Date/Time
neural and fuzzy systems	Herve Abdi	22 Oct 2008 06:42:59
autoassociator	Herve Abdi	22 Oct 2008 06:42:59
heteroassociator	Herve Abdi	22 Oct 2008 06:42:59
backpropagation	Herve Abdi	22 Oct 2008 06:42:59
radial basic	Herve Abdi	22 Oct 2008 06:42:59

Highlights from M-files for "Neural Networks"

M-files for "Neural Networks"

Highlights from
M-files for "Neural Networks"