This document summarizes a lecture on soft computing given by Dr. Ahmed Elngar. Soft computing aims to develop intelligent machines and solve nonlinear problems using techniques that mimic human reasoning, like fuzzy logic. The main goals of soft computing are to solve problems where mathematical models are not available and incorporate human knowledge like learning into computing. Examples provided include using evolutionary computation to allocate money and fuzzy logic for robot movement. The research group aims to propose a secure architecture for addressing IoT security issues in education.

1. Lecture – 01
Introduction to soft computing
Dr. Ahmed Elngar
Associate Professor
Faculty of Computers and Artificial Intellegence
Beni-Suef University
Faculty of Computers and Information Technology, American University in the
Emirates
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Dr. Ahmed Elngar
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2. Course Syllabus
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3. Chapter 1: Introduction
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4. 1.1 What is computer vision?
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7. Cont..
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8. Soft computing
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Soft computing could therefore be seen as a series of techniques
and methods so that real practical situations could be dealt with
in the same way as humans deal with them, i.e. on the basis of
intelligence, common sense, consideration of analogies,
approaches, etc.
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The main goal of Soft Computing
The main goal of Soft Computing is to develop intelligent machines and to solve nonlinear
and mathematically unmodelled system problems (Zadeh 1994) and (Zadeh 2001).
The applications of Soft Computing have proved two main advantages.
First, it made solving nonlinear problems, in which mathematical models are not
available, possible.
Second, it introduced human knowledge such as cognition, recognition, understanding,
learning, and others into the fields of computing.
This resulted in the possibility of constructing intelligent systems such as autonomous
self-tuning systems, and automated designed systems.
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12. Cont..
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Example : Money allocation
problem
(Evolutionary Computation)
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Example : Robot movement
(Fuzzy Logic)
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Computing
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26. Aim of our Research Group:
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The aim of our Scientific Innovation research Group
(SIRG) to evaluate the IOT performance by propose a
secure architecture for the IoT security issues for
Education.
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27. Thanks and Acknowledgement
Thank you
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