SRM INSTITUTE OF SCIENCE AND TECHNOLOGY

RAMAPURAM CAMPUS

COLLEGE OF SCIENCE AND HUMANITIES

DEPARTMENT OF COMPUTER SCIENCE AND APPLICATIONS

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Two Weeks Online International FDP

A Era of Change: Recent Advancements of Machine Learning in terms of AI & IoT.

 12.07.2021 to 25.07.2021

The Department of Computer Science & Applications is organizing a   Two Weeks Online International Faculty Development Program

Day 11 – FDP Session

Date and Time: 22 July, 10.00  am – 11.30 am

Chief Guest:

Dr Sazwan Syafiq

Lecturer / Head of Postgraduate Programme

Infrastructure University Kuala Lumpur, Malaysia.

Topic: Hybrid Intelligent System : Neuro-Fuzzy Expert System

Total Number of Participants: 155

 WELCOME ADDRESS DR.J. DHILIPAN HOD-MCA AND VICE PRINCIPAL-ADMIN

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🔮 DR.J. DHILIPAN VICE PRINCIPAL ADMIN and HOD MCA presented the welcome address. During his address he welcomed the chief guest of today’s function and expressed his gratitude for accepting our invitation

🔮 He quoted that  Hybrid Intelligent System is paving the way for new ways to predict information. Also raises additional concerns regarding how to proceed with research insights

🚨 Mr.N.Krishnamoorthy- Assistant Professor/MCA  read the chief guest profile and introduced the guest to the audience

 Day 11- Technical Session

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📟 Dr Sazwan Syafiq  started the session with brief history of AI neural expert systems

🔮Neural expert systems are expert systems that have neural networks for their knowledge bases. The most important features of these systems are the learning algorithm that allows us to generate a knowledge base automatically from training examples.

🔮 He also explained about Neural expert systems : expertise embed to system

📗 He explained very elaborately neuro Fuzzy: rule arrangement

📘He explained about Intelligent System and decisions making

📒 He  then explained about how neural systems work,  by giving suitable evidences.

📗 He discussed about explaining how expert system works and explained its architecture

📚His lecture continued with explanation of differences between neural systems and expert systems

📔His address continued with finding approximate reasoning . He added about the differences between neural network and fuzzy systems

📕Neuro-Fuzzy systems -A neuro-fuzzy system is a fuzzy system that uses a learning algorithm derived from or inspired by neural network theory to determine its parameters (fuzzy sets and fuzzy rules) by processing data samples

📗He explained clearly about how Neuro-Fuzzy systems works? by stating suitable evidences

💎He concluded his address by explaining about the following concepts in detail with examples

🕹️Hybrid Intelligent System

🕹️Comparison of  Expert systems, Fuzzy systems and Neural networks

🕹️How decision making is done in Intelligent System

🕹️Infervision -health care CT scan example

🕹️Particle swam optimization

🔖 Then the entire session was opened to the audience for clarification of their doubts and interaction. The entire session was much useful for all the participants

🔖 Mr. D. Rajkumar- Assistant Professor/MCA presented the vote of thanks for the day 11 technical session

Hi,

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Topic: International FDP
Date: Jul 22, 2021 09:29 AM Mumbai, Kolkata, New Delhi

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