Titlebook: Soft Computing; Techniques and its A D. K. Chaturvedi Book 2008 Springer-Verlag Berlin Heidelberg 2008 Electrical Engineering.Fuzzy.Simulat

Bombast

Integration of Neural Networks and Fuzzy Systems,The literature reveals that the ANN and Fuzzy set theoretic approaches have been often used for non-linear and complex problems such as load forecasting in power system. The integration of these approaches gives improved results as compared to conventional techniques. Both the modeling techniques have their own merits and demerits as follows:

cyanosis

D. K. ChaturvediResearch monograph on soft computing techniques and its applications in electrical engineering.Includes supplementary material:

词汇记忆方法

medieval

https://doi.org/10.1007/978-3-540-77481-5Electrical Engineering; Fuzzy; Simulation; Soft Computing; algorithms; artificial neural network; computer

下边深陷

赦免

Soft Computing978-3-540-77481-5Series ISSN 1860-949X Series E-ISSN 1860-9503

Spinal-Fusion

Applications of Generalized Neuron Models,t the GN models are much better than multilayered ANN in all the benchmark problems, which encouraged to use for different problems like modeling and simulation of electrical machines, short term electrical load forecasting and various control applications.

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Doped Graphitic Carbon Nitride: An Efficient Supercapacitor Material,CN was further doped by transition metal like nickel using nickel nitrate as precursor. The X-ray diffraction shows that after doping the sample loses its crystallinity considerably, whereas FESEM micrograph shows after doping the chips-like structure of pure GCN get profound elongation around a spe

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Techniques for Diffusion and Perfusion Assessment in Bone-Marrow MRI, newer techniques are available today allowing the visual and also quantitative assessment of several microstructural and physiological tissue parameters. The most important of these new techniques are MRI of hemodynamic parameters (“perfusion MRI”) and MRI of molecular water diffusion (“diffusion M