Subject Detail

Sno	Back	regulation	branch	year	semester	subject_code	name	credits	category
1	Back	R23AIML	ARTIFICIAL INTELLIGENCE & MACHINE LEARNING (AI&ML)	3	1	23A05504b	SOFT COMPUTING	3.0	Theory

Syllabus List

Sno	subject	description	note	syllabus_file
1	SOFT COMPUTING - 23A05504b (Theory)	23A05504b	23A05504b	Link

Book List

Sno	subject	title	author	publisher	edition	book_type	IMG	book_file	note
1	SOFT COMPUTING - 23A05504b (Theory)	Fuzzy Logic with Engineering Applications	Timothy J. Ross	Wiley	3th Edition	Textbook		Link	note
2	SOFT COMPUTING - 23A05504b (Theory)	Principles of Soft Computing	S. N. Sivanandam, S. N. Deepa	Wiley India	2rd Edition(Required 3)	Textbook		Link	note
3	SOFT COMPUTING - 23A05504b (Theory)	Genetic Algorithms in Search, Optimization and Machine Learning	David E. Goldberg	Pearson	None	Reference		Link	note
4	SOFT COMPUTING - 23A05504b (Theory)	Neural Networks and Learning Machines	Simon Haykin	Pearson	3rd Edition	Reference		Link	note
5	SOFT COMPUTING - 23A05504b (Theory)	Fundamentals of Neural Networks: Architectures, Algorithms and Applications	Laurene Fausett	Pearson	None	Reference		Link	note

OnlineReference List

Sno	subject	title	note

Question Paper List

Sno	Subject	Question Paper Type	Date	Title	File

Lab List

Sno	subject	date	title