Artificial Neural Network With Applications To Power Systems detailed Syllabus for Electrical & Electronics Engineering (EEE), 2018 scheme has been taken from the VTUs official website and presented for the VTU students. For Course Code, Subject Names, Teaching Department, Paper Setting Board, Theory Lectures, Tutorial, Practical/Drawing, Duration in Hours, CIE Marks, Total Marks, Credits and other information, visit full semester subjects post given below. The Syllabus PDF files can also be downloaded from the official website of the university.
For all the other VTU EEE 7th Sem Syllabus for BE 2018 Scheme, visit Electrical & Electronics Engineering 7th Sem 2018 Scheme.
For all the (Professional Elective-3) subjects refer to Professional Elective-3 Scheme. The detail syllabus for artificial neural network with applications to power systems is as follows.
Course Objectives:
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Module 1
Fundamental Concepts and Models of Artificial Neural Systems Biological Neurons and their artificial models-Biological Neuron, McCulloch-Pitts Neuron Model, Neuron modeling for Artificial neural systems. Models for Artificial Neural Networks-Feedforward Network, Feedback network.
Module 2
Neural Processing, Learning and Adaptation, Neural Network Learning Rules Neural Processing. Learning and Adaptation-Learning as Approximation or Equilibria Encoding, Supervised and Unsupervised Learning. Neural Network Learning Rules-Hebbian Learning Rule, Perceptron Learning Rule, Delta Learning Rule, Widrow-Hoff Learning Rule, Correlation Learning Rule, Winner-Take-All Learning Rule, Outstar Learning Rule, Summary of Learning Rules.
Module 3
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Module 4
Neural Network and its Ancillary Techniques as Applied to Power Systems Introduction, Learning versus Memorization, Determining the Best Net Size, Network Saturation, Feature Extraction, Inversion of Neural Networks, Alternative Training Method: Genetic Based Neural Network, Fuzzified Neural Network.
Module 5
Control of Power Systems Introduction, Background, Neural Network Architectures for modeling and control, Supervised Neural Network Structures, Diagonal Recurrent Neural Network based Control System, Convergence and Stability.
Course Outcomes:
For the complete Syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier..
Question paper pattern:
- The question paper will have ten questions.
- Each full question is for 20 marks.
- There will be 2 full questions (with a maximum of three sub questions in one full question) from each module.
- Each full question with sub questions will cover the contents under a module.
- Students will have to answer 5 full questions, selecting one full question from each module.
Text Books:
- Introduction to Artificial Neural Systems. Jacek M. Zurada JAICO Publishing House 2006
- Artificial Neural Networks with Applications to Power Systems Edited by-Mohamed El-Sharkawi and Dagmar Niebur IEEE, Inc. 1996
For the detail Syllabus of all other subjects of BE (EEE) 7th Sem, visit Electrical & Electronics Engineering 7th Sem Subjects.
For all (CBSE & Non-CBSC) BE/B.Tech results, visit VTU BE/B.Tech all semester results.