Electronics and Telecommunication Engineering - Vishwakarma ...
Electronics and Telecommunication Engineering - Vishwakarma ... Electronics and Telecommunication Engineering - Vishwakarma ...
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics and Telecommunication Engineering FF No.: 654 EC 42206:: Electronic Automation Credits: 01 Teaching Scheme: - - Tutorial 1 Hr/Week Mapping with PEOs: 1,3,6,8,9 List of tutorials: • Discontinuous controllers • Discontinuous controllers • Continuous controllers • Continuous controllers • PLC programming • PLC programming • State variables • State variable • Stability analysis • Stability analysis • Design of classical controller • Design of intelligent controller Text Books 3. C. D. Johnson - Process Control Instrumentation 4. M. Gopal - Digital Control and state variable methods Reference Books 3. Ogata - Modern Control Systems 4. Bela Liptak -Handbook of Process Control Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 90
Bansilal Ramnath Agarwal Charitable Trust’s Vishwakarma Institute of Technology, Pune – 411 037 Department of Electronics and Telecommunication Engineering FF No.: 654 EC42207:: ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC Credits: 01 Teaching Scheme: - - Tutorial 1 Hr/Week Objectives: • To give overview of neural network systems and to built neural network systems. • To create awareness in the current trends and technologies in Neural networks • To learn different neural Networks. • Mapping with PEOs:1,2,4,5,7,8 To built and test following Neural Networks: 1) Perceptron Neural Network. 2) Hebbin Neural Network. 3) Hamming Neural Network. 4) Hanning Neural Network. 5) McCulloach Pitts Neural Network. 6) Back propagation Neural Network. 7) Max Net Neural Network. 8) Competitive Neural Network. 9) Mini project. Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011 91
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Bansilal Ramnath Agarwal Charitable Trust’s<br />
<strong>Vishwakarma</strong> Institute of Technology, Pune – 411 037<br />
Department of <strong>Electronics</strong> <strong>and</strong> <strong>Telecommunication</strong> <strong>Engineering</strong><br />
FF No.: 654<br />
EC42207:: ARTIFICIAL NEURAL NETWORKS AND FUZZY LOGIC<br />
Credits: 01<br />
Teaching Scheme: - - Tutorial 1 Hr/Week<br />
Objectives:<br />
• To give overview of neural network systems <strong>and</strong> to built neural network<br />
systems.<br />
• To create awareness in the current trends <strong>and</strong> technologies in Neural networks<br />
• To learn different neural Networks.<br />
• Mapping with PEOs:1,2,4,5,7,8<br />
To built <strong>and</strong> test following Neural Networks:<br />
1) Perceptron Neural Network.<br />
2) Hebbin Neural Network.<br />
3) Hamming Neural Network.<br />
4) Hanning Neural Network.<br />
5) McCulloach Pitts Neural Network.<br />
6) Back propagation Neural Network.<br />
7) Max Net Neural Network.<br />
8) Competitive Neural Network.<br />
9) Mini project.<br />
Structure & Syllabus of B.E (E&TC) Program – Pattern ‘C11’, Rev01, dt. 2/4/2011<br />
91