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How to calculate auto and cross correlation coefficients of time series data set?

Auto and Cross Correlation Coefficient are the two terms which are used to indicate the serial and cross correlationship within a single and between two time series.Higher the auto or cross correlation higher will be the level of relationship. This presentation will help to understand the concept and procedures of calculation of Auto and Cross Correlation Coefficient. Download or Watch the Presentation from here : Auto and Cross Correlation Please remember to post some feedback so that I can improve or enrich the presentation if required. Smart use of energy in water based system Utilize Optimally : Learn about Optimization by Soft-computation Water based Renewable Energies Call for Papers Special Issue Subscribe to the newsletter / Contact me / Advertise / Call for Paper / Invitation to act as a contributor / My Author Profile / My Kudos Profile

How to use supplied water to save energy in domestic households ?

A new method of distribution for the supplied water is proposed for a domestic house holds where water is distributed in such a manner that energy used to run the pump can be reduced drastically. Although this method is still a idea the success of the system is yet to be established. Smart use of Water and Energy in domestic households from Mrinmoy Majumder Smart use of energy in water based system Utilize Optimally : Learn about Optimization by Soft-computation Water based Renewable Energies Call for Papers Special Issue Subscribe to the newsletter / Contact me / Advertise / Call for Paper / Invitation to act as a contributor / My Author Profile / My Kudos Profile

How to use GMDH in optimization problems

Group Method of Data Handling(GMDH) is an algorithm that aids in the development and training of polynomial neural network (PNN)-based predictive models. PNN models have the advantage of being able to self-select the number of inputs and topology required to optimally and reliably learn the presented problem. In optimization problems, the Group Method of Data Handling, or GMDH, can be used as an optimization technique. Because the method is fast, non-parametric, and cognitive, the identification of the optimal point will be faster, and the result will be more reliable than that of non-linear or simple neural network models. A tutorial is created to describe how to use GMDH in optimization problems with the help of the GMDH Shell software. Find the full tutorial given below: Happy optimizing.