School of Computer Sciences and Engineering
EENG 7707 Neural Networks and Fuzzy Logic Systems Fall
2005
Course Outline Prof. H. Silver
Instructor:
Prof. H. Silver; Room M114; Tel.(201)692‑2830;
Course Goals:
To understand the structure of neural network and fuzzy logic systems, and
apply
the concepts to problems in signal processing, pattern
recognition, process control and optimization.
Texts:
L. Fausett; "Fundamentals of Neural Networks ‑
Architectures, Algorithms, and Applications;
Prentice Hall; 1994.
J. Yen & R. Langari; "Fuzzy Logic:
Intelligence,Control, and Information; Prentice Hall; 1999.
Week Topics Text References
NEURAL
NETWORKS
1 Introduction to Neural Nets Fausett: Sec. 1.1 to 1.6
2 Linear Separability, Learning Fausett: Sec. 2.1, 2.2
Algorithms, Hebb Rule
3 Perceptron Learning Rule,
Pattern Fausett: Sec. 2.3
and Waveform Recognition Examples
4 Adaptive Linear Neuron
(ADALINE) Fausett: Sec. 2.4
and the Delta Rule
5 Backpropagation Training Fausett: Sec. 6.1,6.2
6 Computer Lab - Neural Net
Simulation
7 Pattern Association ‑ Fausett: Sec. 3.1 to 3.4
Hetero/Auto associative Networks
8 Competitive Neural Nets ‑ Fausett: Sec. 4.1,4.2
Self Organizing Maps
FUZZY LOGIC
9 Introduction to Fuzzy Logic Yen: Chapters 1 and 2
10 Fuzzy
Sets and Operations, Yen: Chapters 3 and 4
Digital Fuzzy Devices Ibrahim (reference): Chapter 4
11 Defuzzification
and Fuzzy Yen: Chapters 5 and 8
Control Systems
12 Computer
Lab - Use of Fuzzy Logic
Toolbox and Simulink
13 Fuzzy
Logic Applications Yen: Parts of Chapters 11 & 12
14 NeuroFuzzy
Systems and Fuzzy Yen: Chapter 16
Associative Memory
15
Review
Fuzzy Logic Reference Texts:
A. Ibrahim; "An Introduction to Applied Fuzzy
Electronics"; Prentice Hall; 1997.
J.Jang & N.Gullet;"Fuzzy Logic Toolbox for
use with MATLAB"; The Math Works.
T.Ross; "Fuzzy Logic with Engineering
Applications"; McGraw Hill; 1995.
K.Tanaka; "An Introduction to Fuzzy Logic for
Practical Applications; Springer; 1997.
C.Von Altrock; "Fuzzy Logic and NeuroFuzzy
Applications Explained"; Prentice Hall; 1995.
Web Course Enhancement:
Web-site (Blackboard system)
for additional course material:
Note: To access
the site you must have a Webmail account.
Grading: Neural Network Assignments 50%
Fuzzy
Logic Assignments 50%