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  1. University of Computer Studies, Yangon
  2. Conferences

Prediction the Rice’s Yield per acre using Backpropagation Algorithm

http://hdl.handle.net/20.500.12678/0000003348
http://hdl.handle.net/20.500.12678/0000003348
766d5c6d-1705-415e-aae8-52eae3357d52
b079cfe0-7fa0-4523-be54-b576435a6502
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psc2010paper psc2010paper (173).pdf (286 Kb)
Publication type
Article
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Publication
Title
Title Prediction the Rice’s Yield per acre using Backpropagation Algorithm
Language en
Publication date 2010-12-16
Authors
Phyu, Poe Ei
Description
Nowadays, Neural Network technologies areapplied in many fields. Neural Networks (NN) rely onthe inner structure of available data sets rather thanon comprehension of the modeled processes betweeninputs and outputs. Therefore, neural networks havebeen regarded as highly empirical models withlimited extrapolation capability to situations outsidethe range of the training and validation data sets.This paper introduces the predict yield in describefield with neural network using backpropagationalgorithm. This system is intended to compare theyield using training weights on all fields and the yieldusing training weights on each field.
Keywords
neural network, backpropagation algorithm
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1108
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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