CMAC Neural Network Code

Department of Electrical and Computer Engineering

University of New Hampshire

Contact: Dr. W. Thomas Miller (tom.miller@unh.edu)

Much of the work on robot learning/adaptation within the UNH Robotics Laboratory has used variations on the traditional Albus CMAC for the nonlinear adaptive element(s) in the control. While we have used various fixed-point and floating-point, hardware and software CMAC implementations in our research over the years, the following files contain the fixed-point software version of CMAC which we use most-commonly today.

Available CMAC related files:

	The CMAC C code.
	The CMAC header file.
	Documentation for the UNH CMAC code (postscript format).
	C code for a simple CMAC demonstration.
	A more interesting Windows 95/NT demonstration (executable binary only).