Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 32 Minute(s)
Language
English
Taught by
Dr. Manish Kakar
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Fundamentals of soft computing
This course covers the fundamentals of Computational Intelligence/ Soft computing including Fuzzy Logic Systems, Genetic Algorithm, Artificial Neural networks, and Hybrid Intelligent Systems like Adaptive Neuro-Fuzzy Inference System (ANFIS). It is easy to understand for anyone interested in the field of Computational Intelligence and includes practical examples of the techniques implemented in Python.
Course Content
- 5 section(s)
- 33 lecture(s)
- Section 1 Introduction
- Section 2 Fuzzy Logic Systems
- Section 3 Evolutionary Computation
- Section 4 Artificial Neural Network (ANN)
- Section 5 Adaptive Neuro Fuzzy Inference System (ANFIS)
What You’ll Learn
- Students will learn the basic techniques of Computational Intelligence/ Soft computing including Fuzzy Logic Systems, Genetic Algorithm, Artificial Neural networks and Hybrid Intelligent Systems like ANFIS. This course is designed to explain these complex concepts of soft computing in an easy to understand and simplified manner with practical examples implemented in python.
Skills covered in this course
Reviews
-
MMohit Angurala
good
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NNaufaldo Indra Pratama
cool
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DDarshan Naik
explaination is good
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RRipundeep Singh Gill
I had gained most of the course due to the efficient way adapted by instructor to explain each concept with suitable examples.
