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Concepts, Procedures, and Applications of Artificial Neural Network Models in Streamflow Forecasting by Arash Malekian; Nastaran Chitsaz is a book available to read on EtoBox.

What is Concepts, Procedures, and Applications of Artificial Neural Network Models in Streamflow Forecasting about?

Artificial intelligence (AI) techniques include knowledge-driven and datadriven computational methods and tools that provide solutions to the complex problems in different research areas . The AI techniques are divided into two categories: (i) knowledgedriven and (ii) data-driven. The first type of AI techniques is the knowledge-based expert systems, which simulates human experience and allows an expert to solve the problem and conclude from a set of rules through the thinking processes . This method is useful for decisionmaking in environments which include vagueness and uncertainty. The second group of AI techniques involves data-driven mathematical tools such as artificial neural networks (ANNs), support vector machines, etc. ANN modeling is a form of AI technique that is widely used in literature for forecasting of a system variable specially in computer science research since 1980s (Yang and Yang, 2014). The goal of ANN modeling is to develop a simplified model of the human brain and mimic the brain behavior in learning tasks or processes to solve problems of several fields such as electrical engineering, agricultural engineering, process and food engineering, among others . T

Author

Arash Malekian; Nastaran Chitsaz

Publisher

Elsevier

Published

2021

Language

EN