Updated Lithological Map in the Forest Zone of the Centre, South and East Regions of Cameroon Using Multilayer Perceptron Neural Network and Landsat Images

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ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.org/journal/gep
E-mail: gep@scirp.org

"Updated Lithological Map in the Forest Zone of the Centre, South and East Regions of Cameroon Using Multilayer Perceptron Neural Network and Landsat Images"
written by Charlie Gael Atangana Otele, Mathias Akong Onabid, Patrick Stephane Assembe, Marcellin Nkenlifack,
published by Journal of Geoscience and Environment Protection, Vol.9 No.6, 2021

has been cited by the following article(s):

[1]	Design and Implementation of an Automatic Deep Stacked Sparsely Connected Auto-encoder (ADSSCA) Neural Network Architecture for Lithological Mapping …
	2023

[2]	A comparative study of convolutional neural networks and conventional machine learning models for lithological mapping using remote sensing data
	Remote Sensing, 2022

[3]	Automatic Evaluation Method of Oral English Based on Multiplex Mode
	Wireless Communications and Mobile Computing, 2022

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