ELG 5386 Neural Networks and Fuzzy Systems

3 units
Electrical Engineering
Faculty of Engineering
Neuro-fuzzy and soft computing. Fuzzy set theory: rules, reasoning and inference systems. Regression and optimization; derivative-based optimization - genetic algorithms, simulated annealing, downhill simplex search. Neural Networks: adaptive networks; bidirectional associative memories; supervised and unsupervised learning; learning from enforcement. Applications: neuro-fuzzy modelling and control, pattern recognition. Courses ELG 5386 , MCG 5356 (MECH 5506) cannot be combined for units. This course is equivalent to EACJ 5386 at Carleton University.

Components:

Lecture

Requirements:

Exclusion: MCG 5356 (MECH5506).

Previously Offered Terms:

Fall
All Professors
A+ Average (9.509)
Most Common: A+ (60%)
55 students

P

S

NS

F

D

C

B

A-

A+

Emil Petriu

Fall 2018 - F00

A+ Average (9.509)
Most Common: A+ (60%)
55 students

P

S

NS

F

D

C

B

A-

A+