Welcome to the ENEE 434, Introduction to Neural Networks and Neurocomputing, Spring 2008, home page of R. Newcomb

  • Course Description (file: 434dS08des.pdf) here

  • Course Time Schedule (file: 434S08tim.pdf) here

  • Course Paper Choices updated 04/04/08 (file: 434_pprs_S08.pdf) here

  • Paper Presentation Schedule, updated 04/04/08 (file: pres_sched.pdf) here

  • Oral Presentation Information (file: 434pres_info.pdf) here

  • Base Paper Report Description (file: 434pprdes.pdf) here

  • Base Paper Report Grading Form (file: ee434rpt_grd.pdf) here

  • Midterm Exam updated 03/09/00 (file: midterm08.pdf) here

  • Midterm solution prob 1a (file: solmtrm1a.pdf) here

  • Midterm solution prob 1b1 (file: solmtrm1b1.pdf) here

  • Midterm solution prob 1b21b3 (file: solutions-1b21b3.pdf) here

  • Midterm solution remaining probs (file: solmtrmrest.pdf) here

    Some helpful information
  • Location of NNET Toolbox m files (file: m_file_location.txt) here

    Problems to consider as an aid to learning course material
    Homework problems for grading

    Homework set #1 of M 02/04/08 new due date W 02/13/08 be sure to train your networks (file: hmwrk1.pdf) here

    Homework set #2 of 02/18/08 due M 02/25/08 due date extended to W 02/27/07 (file: hmwrk2.pdf) here

    Homework set #2 solutions (file: solassign2.pdf) here

    Some Lecture notes in pdf form from tablet int format; MatLab runs not included

    Lecture set W 01/30/08 (file: ee434_013008.pdf) here

    Partial Lecture set W 02/06/08 (file: EE434_020608.pdf) here

    Partial Lecture set M 02/11/08 (file:EEE434_020507.pdf) here

    Matlab delay comments of W 02/13/08 (file: ee434_021308.pdf) here

    Lecture set M 02/18/08 (file: EE434_021808.pdf) here

    Lecture set W 02/20/08 (file: EE434_022008.pdf) here

    Lecture set M 02/25/08 (file: EE434_022508.pdf) here

    Lecture set W 02/27/08 (file: 434_022708.pdf) here

    Matlab file for Lyapunov function for Hopfield neural network; modified 03/06/08 to work with amplifier inputs (file: lyapunhop.m) here

    Lecture set W 03/05/08 (file: EE434_030508.pdf) note that du/dt=0 assumed in referenced paper here

    The files cross listed below have various items of interest for the course.

    Neural network toolbox m files are located in the glue system at /afs/glue.umd.edu/software/matlab/6.5/toolbox/nnet/nnet/ and some at the next level @network

    Microsystems Lab VLSI design page here

    Contains Spice models, MAGIC Layout tutorial, VLSI examples

    URL address: http://www.ece.umd.edu/~newcomb/courses/spring2008/434/ENEE434_spring2008.html