Numerical Analysis of Experimental Data using Mathematical Modelling
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Engineers, researchers and scientists are performing the experimentation on various phenomenon. They try to control their experimentation or elimination the effect of extraneous variables. Each experimenter wishes to reduce the number of variables in the test for reducing the time involvement and economy in the work. The testing sequence should be planned before the start of experimentation. Every experiment requires result analysis and interpretation which is most important step, through which behavior of the experimentation is predicated. Many experiments particularly in engineering field ar...
Engineers, researchers and scientists are performing the experimentation on various phenomenon. They try to control their experimentation or elimination the effect of extraneous variables. Each experimenter wishes to reduce the number of variables in the test for reducing the time involvement and economy in the work. The testing sequence should be planned before the start of experimentation. Every experiment requires result analysis and interpretation which is most important step, through which behavior of the experimentation is predicated. Many experiments particularly in engineering field are expensive and complicated for analysis. The approach suggested by this book of mathematical modeling and its analysis through sensitive analysis, optimization and simulation through artificial neural network technique would be helpful for the researchers, scientist and engineers for experimentation.
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