The How to Database

  Application of Artificial Intelligence : A Video Course  Content of the Course : What is ANN? Training Algorithms: Conjugate Gradient Descent and Newton Method Training Algorithms: Quasi Newton and Levenberg Meruardt Advanced ANN: PNN with the help of GMDH GMDH Performance Metrics Example Application in Water Resource Development No Code Software for ANN Application  All these are free video tutorials.  For case studies and project ideas please upgrade to Paid Member of Baipatra VSC. Click here  to procure in INR: Other than INR :  Click here Click here  to access other tutorials or  Subscribe  to Baipatra VSC.

 The backbone of AI is Artificial Neural Network.  A specific procedure is followed by the human brain to process and react to the situation presented to him/her. It is certain that if humans become intelligent by adopting that methodology then the model developed with the help of the same methodology will be intelligent models which can react based on situations and past experience of responding to them. By intelligent we mean adaptive based on the situation presented. AI makes machines intelligent as AI follows the same methodology that is being followed by humans to react to the situation presented to them. The model developed with the help of the same procedure will certainly be more efficient compared to the other available conventional models and also become more flexible as it changes with the data it is presented at the time of learning the inherent models. As a result, the models developed with AI can be used in any watershed although it is developed with the help of ...

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.

Recently  Baipatra  : The Water Resources and Hydropower portal has published  a selective list of resources that one may have to learn and work with Artificial Neural Network for solving their research problems. The selective list provided : a)Glossary/List of Definitions b)List of Software you must know c)List of Books you may go through d)List of Presentations e)List of Videos f)List of Courses you may attend The list is not extensive but selective.