ENGINEERING PRACTICES ON FUZZY LOGIC, NEURAL NETWORKS AND HYBRID INTELLIGENT SYSTEMS

ENGINEERING PRACTICES ON
FUZZY LOGIC, NEURAL NETWORKS
AND HYBRID INTELLIGENT SYSTEMS

Organised by

DEPARTMENT OF MATHEMATICS & DEPARTMENT OF EEE
NATIONAL INSTITUTE OF TECHNOLOGY
TIRUCHIRAPPALLI – 620 015
TAMILNADU, INDIA.

COURSE OBJECTIVES

After the development of fuzzy logic and
neural networks, there has been a tremendous
change in all branches of engineering and
medicine. Using them, several engineering
problems have been solved by its accuracy and
usefulness. Recently applications in these areas and
integration of these systems synergise the overall
problem solving capability. So this induction
training programme gives a comprehensive package
in the area of fuzzy logic and neural network
fundamentals with applications ranging in the
engineering field. Also a concise package on bioinspired
intelligent systems will be dealt.
The objectives of this SDP are
􀂾 Enriching the knowledge of fuzzy logic,
neural networks and hybrid intelligent
systems with engineering applications for
academicians, researchers and students.
􀂾 Participants can interact with nationwide
experts.

COURSE CONTENTS

The following topics will be covered in the course:
♦ Fuzzy set theory
♦ Fuzzy fixed point theory
♦ Intuitionistic fuzzy set theory
♦ Fuzzy mathematical modeling
♦ Intuitionistic fuzzy mathematical modeling
♦ Neural networks, Algorithms and
Applications
♦ Demo of fuzzy logic and neural networks
using MATLAB
♦ Bio-inspired intelligent algorithms and
programming
♦ Hybrid intelligent systems

ADDRESS FOR CORRESPONDENCE

Dr. V. Lakshmana Gomathi Nayagam /
Dr. Sishaj P Simon
The Coordinator,
AICTE - Staff Development Programme
Department of Mathematics / Department of
Electrical and Electronics Engineering,
National Institute of Technology,
Tiruchirappalli – 620 015
Tamilnadu, India.
Mobile: 09443881718, 09944073421
Fax : 0431– 2500133
Email : velulakshmanan@nitt.edu,
sishajpsimon@nitt.edu