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Dayalbagh Educational Institute Soft Computing Edge Cutting Technology Lab (Deisel), D. K. Chaturvedi
Dayalbagh Educational Institute Soft Computing Edge Cutting Technology Lab (Deisel), D. K. Chaturvedi
D. K. Chaturvedi Dr.
Dayalbagh Educational Institute Soft Computing Edge Cutting Technology Lab (DEISEL) Group consiting of a Professor Incharge, four Teaching Staff members, five Non-Teaching Staff members, five Ph.D. Students, six M. Tech. Students. The objective of DEISEL is to to exploit the tolerance for imprecision uncertainty, approximate reasoning and partial truth to achieve tractability, robustness, low solution cost, and close resemblance with human like decision making to find an approximate solution to an imprecisely/precisely formulated problem. The challenge is to exploit the tolerance for imprecision by devising methods of computation which lead to an acceptable solution at low cost. This, in essence, …
Parameters Estimation Of A Fan System Using Artificial Neural Networks (Anns),, D. K. Chaturvedi
Parameters Estimation Of A Fan System Using Artificial Neural Networks (Anns),, D. K. Chaturvedi
D. K. Chaturvedi Dr.
Electric Fans are very commonly used in the industries, domestic applications and in tunnels for cooling and ventila-tion purposes. Fan parameters estimation is an important task as far as the reliable operation of a fan system is con-cerned. Basically, a fan is mainly consisting of a single phase induction motor and therefore fan system parameters are essentially the electrical parameters e.g. resistances, reactances and some load parameters (fan blades).These parame-ters often change under varying operating conditions and the knowledge of these parameters is necessary to have opti-mum and efficient operation of the system. Therefore, fan system parameters are required to …
Short-Term Load Forecasting Using Soft Computing Techniques, D. K. Chaturvedi
Short-Term Load Forecasting Using Soft Computing Techniques, D. K. Chaturvedi
D. K. Chaturvedi Dr.
Electric load forecasting is essential for developing a power supply strategy to improve the reliability of the ac power line data network and provide optimal load scheduling for developing countries where the demand is increased with high growth rate. In this paper, a short-term load forecasting realized by a generalized neu-ron–wavelet method is proposed. The proposed method consists of wavelet transform and soft computing technique. The wavelet transform splits up load time series into coarse and detail components to be the fea-tures for soft computing techniques using Generalized Neurons Network (GNN). The soft computing tech-niques forecast each component separately. The …
Programs Of Fuzy Systems, D. K. Chaturvedi
Programs Of Fuzy Systems, D. K. Chaturvedi
D. K. Chaturvedi Dr.
The zip file contains c programs of fuzzy system.
Matlab Program Of Genetic Algorithms, D. K. Chaturvedi
Matlab Program Of Genetic Algorithms, D. K. Chaturvedi
D. K. Chaturvedi Dr.
The zip file contains Matlab program of genetic algorithms and their varients.
Ann /Gn Programs, D. K. Chaturvedi
Ann /Gn Programs, D. K. Chaturvedi
D. K. Chaturvedi Dr.
The file contains programms of multi layer feedforward backpropagation ANN, GN and their varients.