SITA3012-NATURAL LANGUAGE PROCESSING

SCSB1611 Computational Intelligence

                                   SCSB1611 COMPUTATIONAL INTELLIGENCE

COURSE OBJECTIVES  To study the basic principles of fuzzy logic and fuzzy operators.  To understand the concept of fuzzy logic controller and its applications.  To comprehend the concepts of swarm intelligence algorithms.  To study and analyse various methodologies for training multi-layer network.  To acquire knowledge about SOM and special networks.  To illustrate the concepts of Genetic Algorithms& Evolutionary strategies. UNIT 1 FUZZY LOGIC INTELLIGENCE 9 Hrs. Classical set- operations and properties -Fuzzy Set-operations and properties-problems, Classical Relations-Operations and Properties, Fuzzy Relations-Operations and Properties -Compositions-Maxmin, Max-Product-Problems, Membership function- features of membership functions-types, α cuts, Linguistic Hedges. UNIT 2 FUZZY LOGIC CONTROL SYSTEM 9 Hrs. FLCS- Fuzzy logic control system-Need for FLCS-Assumptions in FLC design. Fuzzification – Defuzzification. Fuzzy decision making, Fuzzy Rule Based System- Knowledge Base System. Mamdani and sugeno FLC architectures, Introduction to ANFIS- Architecture. Fuzzy cognitive maps. Applications - speed control of induction motor, automatic train control. UNIT 3 SWARM INTELLIGENC 9 Hrs. Introduction – Particle swarm optimization algorithm – Bat algorithm and its variants – Artificial Fish swarm optimization algorithm – Cockoo search algorithm and its variants – Firefly algorithm and its variants – Flower pollination algorithm – Artificial Bee colony optimization algorithm – real world applications of swarm intelligence algorithms. UNIT 4 MULTILAYER AND ADAPTIVE ARCHITECTURES 9 Hrs. BPN-Algorithm, Application, CPN-Training, Applications, Mexican Hat, Kohonan SOM, vector quantization, - Associate memory - Bidirectional Associative Memory (BAM) - Architecture – Hopfield – Discrete & Continuous types, Algorithm- Energy function, Adaptive Resonance Theory - ART1, ART2- training. Probabilistic neural network, Applications - Fault diagnosis, Motion control in robo

SCSA3008-DISTRIBUTED DATABASE AND INFORMATION SYSTEMS-CSE-THEORY-VIII

COURSE OBJECTIVES

  •  To understand the role of databases and database management systems in managing organizational data and information.
  • To understand the techniques used for data fragmentation, replication and allocation during the distributed database design process.
  •  To discuss the issues involved in resource management and process.
  • To Perceive the building blocks and design of information systems.
  • To acquire knowledge of information systems on Business operations