Open AccessRETRACTED: Artificial Neural Network Based shafts surface pressures Analysis
Author(s) -
B. V. Ramana Murthy,
Vuppu Padmakar,
B N S M Chandrika,
Satya Prasad Lanka
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2089/1/012046
Subject(s) - artificial neural network , sort , computer science , artificial intelligence , point (geometry) , computation , diagram , quality (philosophy) , machine learning , algorithm , mathematics , philosophy , geometry , epistemology , database , information retrieval
This paper exhibits a development of an Artificial Neural Network (ANN) as an instrument for investigation of various parameters of a framework. ANN comprises of various layers of straightforward handling components called as neurons. The neuron performs two capacities, to be specific, assortment of sources of info and age of a yield. Utilization of ANN gives diagram of the hypothesis, learning rules, and uses of the most significant neural system models, definitions and style of Computation. The scientific model of system illuminates the idea of sources of info, loads, adding capacity, actuation work and yields. At that point ANN chooses the sort of learning for modification of loads with change in parameters. At long last the examination of a framework is finished by ANN execution and ANN preparing and forecast quality.