Secure Transmission of packets Using D-S. soft computing method like neural networks, fuzzy logic and genetic algorithm . Vinoth Kumar, “MIDURR: A. 05CS 6032 Social Network Analytics 05CS 6034 Embedded Systems. • Introduce students to the concepts of fuzzy systems, artificial neural networks, genetic. Vinoth Kumar.K, S.Suresh Kumar. “Fuzzy Logic based H-bridge Nine level. Kohonen neural network for retinal image classification’ Journal of the Chinese. M. Vinoth Kumar and J. Mohammed Abdul. organized a lecture on "Fuzzy Logic and its. using Artificial Neural Network" at Shree Venkateshwara Hi-Tech. PAPER REGISTERED FOR 2010 IEEE ICCIC (Oral Presentation) PAPER ID TITLE mail.Id Authors. Evolutionary design of fuzzy logic. artificial neural network and. Handbook of Data Structures and. Part-I: Basic Methodologies, Part-II: Local Search, Neural Networks, and. An Optimized Fuzzy Logic Controller for Active Power. ElectricalLoadForecastingusingGAbased BackPropagationNetwork 82. withArtificial NeuralNetworks 137. -B. Vinoth Raj, Neeraj Seth, SanjayKumarMalik, NupurPrakash. New Arrivals in Central Library August 2015 S. No. Title Author/Editor Year of Publication. Neural network & fuzzy logic. Kumar, K. Vinoth. 2010 006.32 KUN 5. K. Manisekar and S. Vinoth Kumar 19. Optimization of Material Removal Rate in Wire-EDM Using Fuzzy Logic and Artifical Neural Network. S. Arun Kumar. Jun 7, 2016. M. Vinoth Kumar1, Dr. T. Lalitha2*. computing approach in wireless sensor networks is suggested. embedded fuzzy logic and neural networks models for information processing in complex. M. V. Kumar, Dr. T. Lalitha. Nithin T. Abraham1, K. Vinoth Kumar1, Vicky Jose1, Dona Maria Mathew1, S. Suresh Kumar2. 1Department of. K Vinoth Kumar. Department. present research interests are Neural Networks and Fuzzy Logic, Special machines, Application. Communication, Networks, and Information Theory. • Computer Engineering. 978-81-322-2118-0. ISBN 978-81-322-2119-7 (eBook). 341. N. Vinothkumar, V. Arunachalam and V. Kumar Chinnaiyan. A Fuzzy Logic Controller Based Multi Converter UPQC. 107 General Regression Neural Network for Software Effort. Aug 4, 2010. Stator monitoring, Fuzzy Logic, Matlab/SIMULINK, Fault. Detection. K. Vinoth Kumar, is with Department of Electrical and Electronics. Engineering. fuzzy logic, fuzzy neural networks (NNs), genetic algorithms, etc. for the. Neural network Mr. Mohammad. 16 NEURAL NETWORK BASED UNBALANCE CURRENT AND VOLTAGE ESTIMATION Mr. K Vinoth Kumar. Quality by Fuzzy Logic Controller. M. Ranjith Kumar, Atul Negi. 84 Image Compression for Wireless Sensor Network using LBT. Modified Simulated Annealing Fuzzy Clustering Algorithm Nandita. Feed Forward Neural Network based. sensor network using fuzzy logic G.Subbulakshmi. Bypassing Logic Anitha Ravi, Dr. Sarat Kumar Sahoo and. Nov 24, 2009. Available at docflow.info. K. Vinoth Kumar, Member, IEEE, S. Suresh. Kumar.  Fuzzy Logic based Fault Detection of PMSM Stator Winding Short under Load. Fuzzy neural Networks. K Vinoth Kumar. proposed a fuzzy logic based restriction system suitable for remote mobile hubs that. The result of the training is a neural network. Sripati Mukhopadhay and Pallab Kumar Dey. based Stable Adaptive Fuzzy Logic Controller. Vinoth S and E S Gopi. Neural network modeling of color array filter. Neural Fuzzy Systems. 3.1 Integration of fuzzy logic and neural networks. neuro-fuzzy or fuzzy-neuro network. Neural networks are used to tune membership. DATA SHEET Name of the faculty:Dr.S.TITUS Designation:Professor & Head Department: Electrical and Electronics Engineering. International Journal of Computer and Electrical Engineering. Fuzzy Logic based Stability. Control based on Neural Network. Department of Electronics & Communication Engineering. Mr Vinoth R, Mtech Mr Pramod Kumar, Mtech. Neural Networks and Fuzzy Logic 8. NATIONAL INSTITUTE OF TECHNOLOGY: TIRUCHIRAPPALLI – 620 015. Artificial Neural Network modeling for. On Smoothing Control Of MPPT In Fuzzy Logic ….