%0 Journal Article
%T Optimal Modeling and Optimizing of a New Biogas Production Configuration based on a Neural Network Optimized by Developed Version of Monarch Butterfly Optimization Algorithm
%J Journal of Smart Systems and Stable Energy
%I Forscherpub
%Z 2958-0293
%A Thwin, Myo
%D 2022
%\ 09/01/2022
%V 1
%N 3
%P 196-207
%! Optimal Modeling and Optimizing of a New Biogas Production Configuration based on a Neural Network Optimized by Developed Version of Monarch Butterfly Optimization Algorithm
%K Biogas generation
%K Artificial Neural Network
%K developed monarch butterfly optimization algorithm
%K mean square error
%K Mixed substrates
%K Genetic Algorithm
%R 10.52293/SE.1.1.196207
%X In this study, a new optimized version of multi-layer perceptron neural network has been used for modeling achieving an optimized configuration in biofuel production process. 25 semi-pilot fermentation runs are used to determine the best arrangement of percentage selection for the combined substrate of rice bran, cow dung, paper waste, banana stem, and saw dust to develop the biogas generation process efficiency and speed. The neural network is optimized by an improved version of Monarch Butterfly Optimization (DMBO) algorithm and the results have been compared with basic MBO algorithm and GA based algorithm from literature to illustrate the algorithm capability.
%U https://www.sssej.com/article_160064_29f64060f658f84bd5dc98af70e79b32.pdf