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Note for Artificial Intelligence - AI By Dhanamma Jagli

  • Artificial Intelligence - AI
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Course Educational Objectives (CEO): 2  Course Educational Objectives (CEO): At the end of the course, the students will be able to CEO4054.1 Identify and describe problems that are amenable to solution by AI methods. CEO4054.2 Study appropriate soft computing techniques for problem solving CEO4054.3 Study optimization techniques based on soft computing approach AISC/DS JAGLI 1/23/2019

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Course Outcomes (CO): 3  Course Outcomes (CO): At the end of the course, the students will be able to MCA4054.1 Understand various AI concepts MCA4054.2 Solve the problems using neural networks techniques. MCA4054.3 Apply fuzzy logic techniques to find solution of uncertain problems. MCA4054.4 Analyze the genetic algorithms and their applications AISC/DS JAGLI 1/23/2019

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Reading 4 1) 2) 3) 4) 5) 6) 7) Artificial Intelligence, 3 rd Edition, Elaine Rich, Kevin Knight, S.B. Nair, Tata McGraw Hill. Artificial Intelligence and Soft Computing for Beginners- Anandita Das, ShroffPublication. Dr. S. N. Sivanandam and Dr. S. N. Deepa,”Principles of Soft Computing “John Wiley S. Rajsekaran& G.A. VijayalakshmiPai, “Neural Networks, Fuzzy Logic and Genetic Algorithm:Synthesis and Applications” Prentice Hall of India. Kumar Satish, “Neural Networks” Tata McGraw Hill Timothy J. Ross, “Fuzzy Logic with Engineering Applications” Wiley India. Search, Optimization & Machine Learning by David E. Goldberg. AISC/DS JAGLI 1/23/2019

Lecture Notes