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Artificial neural networks are a computing system inspired by human neuron, designed to simulate the way human brain analyzes and processes information. They are the foundation of artificial intelligence and machine learning technology. This research paper focuses on the basic understanding of Artificial neural networks. ANN create a lots of excitement in Machine learning research and that results a huge development on many AI and machine learning systems like text processing, speech recognition, image processing. Neural networks consist of input and output layers, in many cases hidden layer consisting of units that transform the input into something that the output layer can use. They are essential tools for finding patterns which are far too complex or numerous for a human programmer to extract and teach the machine to recognize.
Pritom Bhowmik. 2019. "Research Study on basic Understanding of Artificial Neural Networks". Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D4).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
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Total Score: 141
Country: Bangladesh
Subject: Global Journal of Computer Science and Technology
Authors: Pritom Bhowmik (PhD/Dr. count: 0)
View Count (all-time): 450
Total Views (Real + Logic): 2054
Total Downloads (simulated): 148
Publish Date: 2019 01, Tue
Monthly Totals (Real + Logic):
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