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Optimization of dark fermentation for biohydrogen production using a hybrid artificial neural network (ANN) and response surface methodology (RSM) approach

Environmental Progress & Sustainable Energy, 2020
Herein, the production of biohydrogen by dark fermentation was optimized using a novel hybrid approach that combines ANNs (artificial neural networks) with RSM (response surface methodology).
Yunshan Wang   +6 more
semanticscholar   +1 more source

Process analysis using RSM and simulation

Microelectronic Engineering, 1992
In this paper a statistical analysis of an advanced CMOS process performed using the Response Surface Method (RSM) applied to process/device simulation is presented. The statistical distribution of the most important electrical parameters (threshold voltages, saturation currents, ...) of the active devices have been predicted starting from the ...
M. Cecchetti   +3 more
openaire   +2 more sources

A comprehensive review of thermoelectric generation optimization by statistical approach: Taguchi method, analysis of variance (ANOVA), and response surface methodology (RSM)

Renewable & Sustainable Energy Reviews, 2022
Wei-hsin Chen   +6 more
semanticscholar   +1 more source

RSM-Based Gossip on P2P Network [PDF]

open access: possible, 2007
Classification is a kind of basic semantics that people often use to manage versatile contents in daily life. Resource Space Model (RSM) is a semantic model for sharing and managing various resources using normalized classification semantics. Gossip-based peer-to-peer (P2P) techniques are reliable and scalable protocols for information dissemination ...
Hai Zhuge, Xiang Li
openaire   +1 more source

Manufacturing RSM and Manufacturing Resource Sharing

2009 Fifth International Conference on Semantics, Knowledge and Grid, 2009
It has become a hot research topic in manufacturing system that manages the manufacturing system’s life cycle resources uniformly, normally and effectively, realizes the sharing of remote and heterogeneous resources and optimizing the allocation of the manufacturing resources.
Anhua Chen   +4 more
openaire   +2 more sources

Prediction of cement mortar strength by replacement of hydrated lime using RSM and ANN

Asian Journal of Civil Engineering, 2023
G. Nakkeeran, L. Krishnaraj
semanticscholar   +1 more source

RSM and ANN modeling of hold up, slip, and characteristic velocities in standard systems using pulsed disc-and-doughnut contactor column

, 2020
The liquid-liquid extraction process is numerically studied based on two modeling approaches of artificial neural network (ANN) and response surface methodology (RSM).
A. Hemmati, A. Ghaemi, M. Asadollahzadeh
semanticscholar   +1 more source

A Comprehensive Review on RSM-Coupled Optimization Techniques and Its Applications

Archives of Computational Methods in Engineering, 2023
Anto Susaimanickam   +2 more
semanticscholar   +1 more source

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