Bogdan M. Wilamowski

Broun Hall  420, phone 844-1629

http://www.eng.auburn.edu/users/wilambm/

wilam @ ieee.org

NEURAL NETWORKS

FALL 2006

ELEC 5240 and ELEC 6240

Class policy and grading

Handouts and resources learning software on web: #1 #2

MATALAB	PERL and EXEL
Perceptron_Hard.m Perceptron_Soft.m LMS_S.m LMS_B.m Delta_S.m Delta_B.m Delta_B3.m Pseudo.m EBP2layers.zip modifiedLM.zip	PERL binary for WINDOWS Train1hard.pl Train1soft.pl Pseudo.xls

HWs

HW 1 - McCulloch -Pitts neuron

HW 2 – Classification problem

HW 3 – Perception training and analytical solutions

HW4 - Pseudo inversion training

HW5 – EBP for parity 4

HW6 – Best architecture for parity 3 problem

HW7 – Counterpropagation and AD converter

HW8 – Clustering , data

HW9 - Fuzzy

Final Project

Final project data

Class notes

Class notes
01 introduction to computational intelligence 02 single neuron 03 training single neuron 04 analytical methods 05 error backpropagation 06 modification of EBP 07 higher order algorithms 08 neural network architectures 09 feedback network 10 Clustering and PCNN 11 fuzzy systems 12 Comparison NN and FS 13 Genetic Algorithms 14 Swarm Intelligence 15 Hardware Implementations	Used Used Used Used Used Used Used Used Used Used Used Used Used Used Used

GradeWatch

gradewatch