INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract-Supervised machine learning algorithms used to identify and classify the natural objects with great success. Natural object identification, in that image may be comes under different categories, in a highly object identification and classification problem. It is a very difficult to distinguish them and within each class all the images are dissimilar from one another. It is a prevalent problem in data analysis. However, identification of natural object instances is typically more lengthy or expensive to process and compare with single object instances. The approach for used to learning has been widely studied on reducing classification effort for single object problems, current research on natural object learning remains in a preliminary state. In this paper we propose an approach for artificial neural network for natural object classification.
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"Natural Object Categorization Using Artificial Neural Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 4, page no.212-216, April-2022, Available :http://www.ijnrd.org/papers/IJNRD2204021.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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