4.0 | 44 ratings Rate this file 117 downloads (last 30 days) File Size: 144.97 KB File ID: #976

ANN

22 Oct 2001 (Updated 14 Feb 2008)

Code covered by the BSD License

Adaptive Neural Networks

File Information
Description	The adaptive Neural Network Library (Matlab 5.3.1 and later) is a collection of blocks that implement several Adaptive Neural Networks featuring different adaptation algorithms. It was developed mainly in June-July 2001 by Giampiero Campa (West Virginia University) and Mario Luca Fravolini (Perugia University). Later improvements were partially supported by the NASA Grant NCC5-685. There are blocks that implement basically these kinds of neural networks: Adaptive Linear Networks (ADALINE) Multilayer Layer Perceptron Networks Generalized Radial Basis Functions Networks Dynamic Cell Structure (DCS) Networks with gaussian or conical basis functions Also, a Simulink example regarding the approximation of a scalar nonlinear function is included. Finally, the file Training.zip includes step by step instrucions on how to train the GRBF network and the supporting example.
Required Products	Simulink
MATLAB release	MATLAB 5.3.1 (R11.1)
Zip File Content
Other Files	ann.mdl, anndemo.mdl, contents.m, dcsgl2.dll, dcsgl2.mexw32, demos.m, emran8.dll, emran8.mexw32, info.xml, Readme.txt, src.z.p, training.zip, vrmult.dll, vrmult.mexw32

Tags for This File
Everyone's Tags	adaline, adaptive neural networks, dcs, ebpa, fuzzy logic, mran, neural networks(2), rbf, rbf for suren
Tags I've Applied
Add New Tags	Please login to tag files.

Comments and Ratings (56)
16 Jan 2003	teguh prihantoro	its good for all student in university that interest about neural network using mathlab.
26 Mar 2003	rg go
26 Mar 2003	rg gowda
22 May 2003	puya afshar
23 May 2003	Anatoly Radchenko
06 Jul 2003	Alan Carter	Very fine piece of work.
07 Oct 2003	jorge cano	Excellent work.
16 Oct 2003	shehzadi .	good
25 Nov 2003	santosh chowhan	preliminary source code for neural networks in c/c++/MATLAB
14 Dec 2003	E. A. Capuano
10 Jan 2004	PRAVIN BORKAR	WE REQUIRE THE MATLAB SOURCE CODE FOR THE TRAINING OF THE ANFIS MODEL WHICH CONSIST OF 6 input and 1 output.
16 Feb 2004	Abdel heliel
12 Mar 2004	Aditya kumar	I require the mtlab code for Counter propagation network and Dynamic supervised Forward propagation network
10 May 2004	Santosh Dasika	Hi, Can u plz post the codes for the recurrent neural networks, i.e., from the base, writing s code using an algorithm rather than using a user defined algorithm?
10 Jul 2004	Kianoush Nazarpour
07 Aug 2004	Saeed Beyty	a very well written and useful blockset. a must see for all NN lovers. :D
09 Aug 2004	soko guru	It's a nice toolbox even if i haven't tried it.
24 Sep 2004	AN Seong-Jun	very good for student..^^
07 Dec 2004	AJAY AKASAPU
04 Jan 2005	my Love	it's very nice
13 Jan 2005	éöó ààï
25 Jan 2005	Masih Hosseini
31 Jan 2005	RAMAKRISHNAN NARASINGAM	It's very ,uch useful for my projects
01 Feb 2005	Masih Hosseini	I encourage you to use DCS boxes. They are really nice.
09 Feb 2005	parashuram uppar	good
16 Feb 2005	tofik riyadi	i need it
26 Feb 2005	mohit goyal
13 May 2005	siba mahapatra	good.
01 Jun 2005	ben mok	i need if you help how to combine in matlab simulink an rst adaptive conntroller (with pole placement) with rls identification of any system. thank you
04 Oct 2005	Morteza Mohebbi	With thank you, I want to know how can I learn RBF neural network with my adaptive law for weights that is not the same as your adaptive law.
11 Oct 2005	PRAVAT ROUT
19 Nov 2005	vankara partha saradhi
28 Nov 2005	Lisandro Curia	---
17 Jan 2006	Alex Tolly	It is an excellent toolbox
20 Feb 2006	nallu swamy	good
31 Mar 2006	rosa rapisarda
24 Jul 2006	malihe yadegari
21 Aug 2006	Piyush Khatavkar	Respected Sir, I am piyush Khatavkar studying in final year chem engg. and doing my project on ann. actually i need some help regarding ann documentation
30 Sep 2006	husain ahmed	respected sir, i m a lecturer in engineering college. For project i need the neural network programming & how i can imliment the ann in control systems. please help me
22 Oct 2006	mahendra reddy
25 Oct 2006	Tansel Yucelen	Sir, I think it is fair, because you did not give codes (of course), but I can not change the codes for my purpose (for ex. I want to change one code to make optimal neural control). you can .m file codes if available to my e-mail address.
02 Jan 2007	SURYA RAJU
09 Jan 2007	Nistor Grozavu
21 Feb 2007	Lazhar Bilel
08 Sep 2007	Mario Gennaro	His work is Eccelent!!!
07 Dec 2007	amit singh
09 Dec 2007	ali sahebi	I dont know yet!
11 Jan 2008	ilyas mohammad
16 Jan 2008	Donovan Parks	Demo does not run out of the box. The GRBF block is missing. Once I fixed this, errors still occurred.
27 Feb 2008	mohammed abu mallouh	exactly what Simulink tool box is missing.Excellent work hope to see it soon as part of the NN toolbox and see more examples
24 Apr 2008	suresh kumar
28 Aug 2008	Ahmet Shala	Very good work
19 May 2009	Surendra Dhakal	hi, I am a beginner in ANN and going through this code for some basic knowledge of RBF. I need to degin a RBF network(with gaussian function) for 22 inputs and 6 outputs. The problem is about the classification of breast cancer types. The 22 inputs are the features extracted from the given breast image(mammogram) and 6 outputs are the different cancer types. The second stage network is also needed with 2 or 3 outputs also(cancer stages). It would be great if you could manage some time to help me this with matlab code. Thanks in advance!!
31 May 2009	Ahmed Hakim	please help me
28 Jul 2009	Chan-Yun	The blocksets are considerably beneficial to my application. Can I ask further for a more detailed descriptions or references of the function block "GRBFNN"? There are many parameters alone with the block. As you know, with improper parameter settings, the block may be used unsatisfactory and lead to an incorrect result.
01 Nov 2009	Sinan	Hi When I open "ann model", I receice an ERROR Message "Unable to load model file due to presence of characters that are not supported in the current character encoding"... Please ,can anybody tell me why?

Please login to add a comment or rating.

Updates
20 Nov 2001	info.xml file added for R12 and some other very minor changes.
19 Mar 2002	The code for emran and dcs networks has been widely cleaned and refactored. A minor bug causing errors in Matlab 6.1 has been fixed.
02 Jul 2002	Stabilizing terms (somewhat similar in a way to "Sigma modifications" and "forgetting factors") have been added in both Adaline and EMRAN. Some typos in the EMRAN help text have been corrected as well.
12 Feb 2003	Very small modifications for MATLAB 6.5 (conversion to real before calling some s-functions).
02 Jul 2003	Some fairly big changes : -) Every network has MIMO capability -) The help files have been completely rewritten. -) The demo is also somewhat improved.
17 Dec 2003	Minor changes in the demo. Please email me if you need the source.
17 Dec 2003	Minor changes in the demo. Please email me if you need the source.
12 May 2005	Renamed everything lowercase
12 May 2005	Removed dir structure from zip file
23 Aug 2006	Step by step instrucions on how to train the ERMAN network have been included, as well as a support example.
07 Feb 2007	Refined info.xml file.
04 Jun 2007	Only the best networks (one per class) have been retained, names have been simplified, dependency on the smxl library has been removed, all S-Functions are now written in C, and weight limiting mechanisms have been added.
23 Oct 2007	Recompiled mex files with matlab 7.1 so that everything works fine with newer versions requiring the .mexw32 extension. The .dll files are retained to the benefit users working with versions prior to 7.1, other users may delete them.
14 Feb 2008	Replaced an older version of training.zip that was mistakenly reintroduced in October 2007. Now everything works out of the box. Please let me know of any more problems.

Tag Activity for this File
Tag	Applied By	Date/Time
fuzzy logic	Giampiero Campa	22 Oct 2008 06:38:45
neural networks	Giampiero Campa	22 Oct 2008 06:38:45
adaptive neural networks	Giampiero Campa	22 Oct 2008 06:38:45
adaline	Giampiero Campa	22 Oct 2008 06:38:45
ebpa	Giampiero Campa	22 Oct 2008 06:38:45
dcs	Giampiero Campa	22 Oct 2008 06:38:45
mran	Giampiero Campa	22 Oct 2008 06:38:45
rbf	Giampiero Campa	22 Oct 2008 06:38:45
rbf for suren	Surendra Dhakal	19 May 2009 05:27:37
neural networks	Sinan	02 Nov 2009 01:53:15

MATLAB Central Terms of Use

NOTICE: Any content you submit to MATLAB Central, including personal information, is not subject to the protections which may be afforded information collected under other sections of The MathWorks, Inc. Web site. You are entirely responsible for all content that you upload, post, e-mail, transmit or otherwise make available via MATLAB Central. The MathWorks does not control the content posted by visitors to MATLAB Central and, does not guarantee the accuracy, integrity, or quality of such content. Under no circumstances will The MathWorks be liable in any way for any content not authored by The MathWorks, or any loss or damage of any kind incurred as a result of the use of any content posted, e-mailed, transmitted or otherwise made available via MATLAB Central. Read the complete Terms prior to use.