EE 578 
ME 578
NEURAL NETWORKS DESIGN
Fall 2003
class period: T/Th 02.30pm - 04.00pm pdt (03.30pm - 05.00pm mdt)
office hours: T/Th 01.30pm - 02.20pm pdt (02.30pm - 03.20pm mdt)
Offered: 
  • in Boise live -  room B1
  • in Moscow through compressed video - room  ED 103
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    Catalog data:
    EE 578 Neural Network Design (3 cr). Same as ME 578. Introduction to neural networks and problems that can be solved by their application; introduction of basic neural network architectures; learning rules are developed for training these architectures to perform useful functions; various training techniques employing the learning rules discussed and applied; neural networks used to solve pattern recognition and control system problems. Prereq: perm. 
    		Instructor:
    Milos Manic, Ph.D.
    University of Idaho
    CoEG Graduate Center at Boise
    800 Park Blvd.
    Boise, ID 83712, USA
    misko@uidaho.edu http://husky.engboi.uidaho.edu
    ph. 208-364-4092 (direct phone)
    fax: 208-387-1246 
    Outreach Program ph. 800-824-2889
    Boise Center 866-264-7384 (toll free)


    References:

    Textbook is not required but recommended (Schalkoff). I am aware of high prices of books, plus none of the books is sufficiently extensive to cover all the material from the course. However, these are the recommendations of books that I find very useful to have, if possible.

    • Robert J. Schalkoff, "Artificial Neural Networks" co-published by MIT Press and the McGraw-Hill Companies 1997, ISBN: 0-07-057118-X.
    • J. M. Zurada, "Introduction to Artificial Neural Systems" - West Publishing Company 1992, ISBN: 0-314-93391-3.
    • M. Hagan, H. Demuth, M. Beale, “Neural Network Design”, PWS Publishing Company 1995, ISBN: 0-534-94332-2.


      • Related more towards applications:
    • ed. by Ian Cloete & Jacek M. Zurada, “Knowledge-Based Neurocomputing”, The MIT Press, 2000, ISBN: 0-262-03274-0.
    • ed. by Emile Aarts, J.K.Lenstra, "Local Search In Combinatorial Optimization", John Wiley & Sons, 1998, ISBN: 0-471-948-225.
    • ed. by D.B. Fogel, C.J. Robinson, "Computational Intelligence", John Wiley & Sons, IEEE Press, ISBN: 0-471-27454-2.

     

    Possible sources for textbook on internet:


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    Software download

    Perl     

  • from Perl web page       
  • local site binary version , help and documentation, installation of Perl graphics.
  • SNNS - Stuttgart Neural Network Simulator
  • NNOTT - http://husky.engboi.uidaho.edu/nn/
  • Java applets for NN training
  • various URLs related to NNs



    • Class notes click here
    Please complete the evaluation for this course at: http://max.csrv.uidaho.edu/



    Questions

    SUBJECT LINE: Please, use [EE578] Family_name Question. I might be receiving over 100 emails a day. If you do not want yours to get lost, please always double check your subject line. If urgent response is needed, please use [EE578] URGENT Family_name Question.

    SIGNATURE: Please, sign your email with Family_name, First_name Middle_name, Stud_ID: xxx-xxxxx, cv|live. Some of the names are fairly similar, and this way we will avoid confusion and facilitate faster correspondence.

     

    Homework & Exams

    Homework should be sent to misko@uidaho.edu with the subject: "[EE578] HW1 Family_name" for homework number 1, "[EE578] HW2 Family_name" for homework number 2, etc. Attachments in doc, PDF, or ps format are welcome.  

     

     

    Grades

    IMPORTANT: To be assigned a password, send me an email to misko@uidaho.edu with following information: full name, student ID, email, and mailing address that you want to be used for sending graded assignments.
    NOTE: Please be aware that the correct mailing address needs to be updated on Banner too! Also, please note that starting July 1, 2003, the only official email account is your VandalMail account.

    You can check your grades here.

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