Research Study on basic Understanding of Artificial Neural Networks

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RD765

Research Study on basic Understanding of Artificial Neural Networks

Pritom Bhowmik
Pritom Bhowmik
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Abstract

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.

Research Study on basic Understanding of Artificial Neural Networks

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
Pritom Bhowmik

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Pritom Bhowmik. 2019. “. Global Journal of Computer Science and Technology – D: Neural & AI GJCST-D Volume 19 (GJCST Volume 19 Issue D4): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-D Classification: F.1.1
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Research Study on basic Understanding of Artificial Neural Networks

Pritom Bhowmik
Pritom Bhowmik

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