### 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 **