Tutorial on Auto-and Cross Regression Models : Prerequiste to ANN model development



Auto and Cross Regression Models

Comments

Post a Comment

Popular posts from this blog

Dynamic Soaring of Albatrosses Optimization Technique

Image
The concept of dynamic soaring by Albatrosses, a large seabird, can be used in optimization by flying long distances without using their muscles. This flight pattern, similar to riding a sidewinding rollercoaster, can fly up to 10,000 miles in a single journey and circumnavigate the earth in 46 days. Dynamic soaring consists of four phases: upward bend, upward climb, downward bend, and downward dive. Criteria for dynamic soaring include no wind, no waves, wave-slope soaring in swell without wind, and wind-shear soaring in wind without waves. Founding and Honorary Editor Innovate for Sustainability Subscribe to this blog Publish your book with EIS Publishers Instructor of Self Paced Course on Six-week course on Introduction to Remote Sensing and GIS Sponsored by Ashwagandha and Other Products for Enhancing Immunity.. Nutrilite(Use 13238584 as ABO ID) Procure Hydrology Themed T-Shirts from Innovate S Returns from commissions donated to NGOs after deducting the cost of honorarium and ...
Read more

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

Auto and Cross Correlation Coefficient is used for approximation of the auto and cross correlation of the two part of same data series and two different data series. Their magnitude depicts the way they are related to each other..Such concepts are included in the basics of statistics.However the knowledge of these two metrics are important before a model is to be developed for prediction of real time case study. You can find the tutorial by going to my slide-share account .
Read more

Types of Neural Network

Types of Neural Networks :  There are two different types of neural network based on the learning mechanism - Supervised and Unsupervised Neural Networks where in case of the former a desired dataset is provided("teacher") with which the model predicted data is compared to find level of accuracy of the model.The Unsupervised neural network will try to identify the inherent properties(data mining) of the input dataset with the help of different unsupervised learning methods. Based on the signal transmission through the neural networks,neural network models can be divided into three distinct classes : Feed forward - where the signal is transmitted only in the forward direction(Input-Hidden-Output); Feedback - a feedback or error correction signal is transmitted back to the source so that deviation from the desired data is actuated and Recurrent - signal is transmitted both ways.Recurrent Neural Networks can use their internal memory to process a...
Read more