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The procedure used to carry out the learning process in a neural network is called the optimization algorithm (or optimizer). There are many different optimization algorithms. All have different characteristics and performance in terms of memory requirements, processing speed, and numerical precision....Read the full article.
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The principal objective of hydrologic models is to forecast the runoff of a surface water body specially dendritic systems like rivers,stream etc.. The inputs to these models are generally Rainfall/Precipitation, Soil Characteristics, and other Climatic parameters like...Contd.
Introduction to Multi Criteria Decision Making Techniques
Learn the basics about MCDM and some of its technique with examples.
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Introduction to Optimization Technique
Learn the basic techniques used in optimization of a solution.Learn with Examples. Free with Advanced Membership of this group.
Introduction to Advance Statistical Technique
Learn about different statistical techniques used in analysis of research data. Topics like Outlier Detection,Distribution Function,Auto Correlation etc. techniques are explained with example.
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