Chidambar Ganesh to speak on preprocessing in neural networks

[Lorien Y. Pratt]

				The spring, 1993
			    Colorado Machine Learning 
				Colloquium Series

			      Dr. Chidambar Ganesh
			    Division of Engineering
		    Colorado School of Mines, Golden Colorado

      Some Experiences with Data Preprocessing in Neural Network applications

			      Tuesday March 30, 1993
		    Room 110, Stratton Hall, on the CSM campus
				    5:30 pm

				   ABSTRACT

    In the application of Artificial Neural Systems (ANS) to engineering
    problems, appropriate representation of the measured sensor signals
    to be input to the ANS and the desired output response from the
    ANS are critical to successful network development. In this seminar,
    three different applications are presented wherein the representation
    of the input-output data sets proved to be a central issue in
    training neural networks effectively. The examples to be considered
    are :

    1. Object identification based on ultrasonic measurements.
    2. Real-time defect detection in an arc welding process from acoustic 
       emission sensors.
    3. Aluminum can color quality based on spectroscopic measurements.

    The first example deals with classification of 2-D objects from an
    ultrasonic mapping, and provides a simple yet striking illustration
    of the concept that utilizing data compression techniques can
    successfully resolve network learning problems. The latter two case
    studies relate to process monitoring and control in manufacturing.
    In both situations, an in-depth understanding of the physical
    process underlying the generated data was essential to developing
    meaningful representation schemes, ultimately resulting in useful
    networks.

    Suggested background readings: A Neural Network-Based Object
    Identification System..C. Ganesh, D. Morse, E. Wetherell and J. P.
    H. Steele. Development of an Intelligent Acoustic Emission Sensor
    Data Processing System -- Final Report.  C. Ganesh and Steven M.
    Lassek. A Neural Network-Based Can Color Diagnostician  C. Ganesh,
    L. Easton, and J. Jones.   These readings are available on reserve
    at the Arthur Lakes Library at CSM.  Ask for the reserve package
    for MACS570, subject: Ganesh.  Non-students can check materials
    out on reserve by providing a driver's license.

			    Open to the Public
	    Refreshments to be served at 5:00pm, prior to talk


      For more information (including a schedule of all talks in this
      series), contact:  Dr. L. Y. Pratt, CSM Dept. of Mathematical and
      Computer Sciences, lpratt at mines.colorado.edu, (303) 273-3878

			      Sponsored by:
  THE CSM DEPARTMENTS OF MATHEMATICAL AND COMPUTER SCIENCES, GEOPHYSICS,  
		       DIVISION OF ENGINEERING, AND 
				 CRIS
The Center for Robotics and Intelligent Systems at the Colorado School of Mines