168 481 Neural Network

	Credit: 3(3-0-3)	
	Date and Time:
		TT 10.30-12.00 EN4510
	Instructor:
		Nawapak Eua-anant	Office: EN4503
		Nawapak@kku.ac.th	Tel: 2153, 362160 Ext. 221

	Course Outline:
		1.   Introduction to neural computation
		2.   Single Layer Perceptron networks
		3.   Multilayer Perceptron Networks

			Homework1

			Homework2

			Demo program

			Homework3

		4.   Associative Networks
		5.   Self Organizing Networks

			 Homework 4
		6.  Applications of Neural Network

		********** Final Project **********

		3 October 2003, EN 4510, 13.00-16.00

	Assessment:
		Attendance   		5%
		Homework  		35%
		Midterm	      		30%
		Final Project		30%
	Grading:
		85-100%=A, 75-85%=B+, 70-75%=B, 65-70%=C+,
		60-65%=C, 55-60%=D+, 50-55%=D, 0-50%=F
	References:
		1.   James A. Freeman and David M. Skapura, "Neural Networks, Algorithm, 
		      Application, and Programming techniques", Addison-Wesley, 1993.
		2.   John Hertz, Anders Krough, and Richard G. Palmer, "Introduction to the 
		      Theory of Neural Computation", Addison-Wesley, 1993.
		3.   Bart Kosko, " Neural Networks and Fuzzy Systems, A Dynamic System
		      Approach to Machine Intelligence", Prentice Hall, 1992.