ARTIFICIAL NEURAL NETWORKS Lecture Notes |
| LECTURE
NOTES |
PRESENTATION HANDOUTS |
QUESTIONS | ||
CONTENTS |
c02004.pdf | |||
CHAPTER 1 |
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 | |||
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