FROM BIOLOGICAL NEURON TO ARTIFICIAL NEURAL NETWORKS	ch1.pdf	ch1P.pdf	Qs on CH1
CHAPTER 2	RECURRENT NEURAL NETWORKS	ch2.pdf	ch2P.pdf	Qs on CH2 and CH3
CHAPTER 3	NEURAL NETWORKS AS ASSOCIATIVE MEMORY	ch3.pdf	ch3P.pdf
CHAPTER 4	COMBINATORIAL OPTIMIZATION BY NEURAL NETWORKS	ch4.pdf	ch4P.pdf	Qs on CH4
CHAPTER 5	ANNEALING BY STOCHASTIC NEURAL NETWORK FOR OPTIMIZATION	ch5.pdf	ch5P.pdf	Qs on CH5
CHAPTER 6	LEARNING IN FEEDFORWARD NETWORKS	ch6.pdf	ch6P.pdf	Qs on CH6
CHAPTER 7	RECURRENT BACKPROPAGATION	ch7.pdf	ch7P.pdf
CHAPTER 8	DATA CLUSTERING AND SELF ORGANIZING FEATURE MAPS	ch8.pdf	ch8P.pdf	Qs on CH8
CHAPTER 9	RADIAL BASIS FUNCTION NETWORKS	ch9.pdf	ch9P.pdf	Qs on CH9
	REFERENCES	references.pdf
EE543 INTERACTIVE JAVA APPLETS EE543 TOPICS FOR STUDENT PRESENTATIONS