IPCC Analysis with Backpropagation Neural Network Algorithm for Decennial CH4 Potential: A Review on City Waste to Energy

2019 ◽  
Author(s):  
Tinton Dwi Atmaja ◽  
Dian Andriani ◽  
Aji Prasetya Wibawa ◽  
Agung Bella Putra Utama ◽  
Haviluddin ◽  
...  
Keyword(s):  
Neural Network ◽  
Waste To Energy ◽  
Backpropagation Neural Network ◽  
Network Algorithm ◽  
Neural Network Algorithm

scholarly journals Classification of Tropical Rain Forest East Kalimantan Using Image Processing and Backpropagation Neural Network Algorithm

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2586-2589
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Backpropagation Neural Network ◽  
East Kalimantan ◽  
Network Algorithm ◽  
Neural Network Algorithm ◽  
High Level

Tropical Rain Forest located in East Kalimantan has a high level of biodiversity, with a high level of biodiversity in east kalimantan then it needs a method to classify the existing plants there. In the research, the researchers tried to classify 5 plants found in tropical rainforests, namely ShoreaBalangeran, Dryobalanopsbeccarii Dyer, Eusideroxylonzwageri, Duriokutejensis, Cerberamanghas. Classification is done by using backpropagation neural network algorithm combined with image processing, where the image used is the image of plant leaf. The result of this research is the classification of 5 species of this plant with precision value above 90% in order to become a supporter of botanical decision in determining the type of plant and become alternative reference to classify plants in tropical rain forest area.

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