Artificial intelligence for the modeling and control of combustion processes: a review

By Soteris A. Kalogirou. 2003

616 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/2c3710d89acb33405d4c6f532f3fcb9ac953591c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Mehmet Çunkas
2. Prasanta Kumar Dey
3. M. Mohanraj
4. Ilhan Asiltürk
5. S. Jayaraj
6. C. Muraleedharan

Citations in the corpus

• Applications of artificial neural networks for refrigeration, air-conditioning and heat pump systems—A review (2012, methodology): “MLFFN [1,2].”
• Applications of artificial neural networks for thermal analysis of heat exchangers – A review (2015, background): “Similarly, many researchers had reviewed the applications of ANN for refrigeration, air conditioning and heat pump systems [12], heat transfer problems in nuclear engineering [13], sizing of solar photovoltaic systems [14], modeling and control of combustion processes [15], modeling of energy system”
• Global Research on Artificial Intelligence from 1990-2014: Spatially-Explicit Bibliometric Analysis (2016, background): “AI, as a branch of computer science, aims to understand the essence of intelligence and AI has attracted researchers with respect to its theories and principles since the 1956 Dartmouth conference [2,3]. design intelligent machines that can act as human behavior.”
• Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method (2011, methodology): “The training algorithm (or learning) is defined as a procedure that consists of adjusting the weights and biases of a network that minimize selected function of the error between the actual and desired outputs (Gareta, Romeo, & Gil, 2006; Kalogirou, 2003; Karatas, Sozen, & Dulek, 2009).”
• The feasibility of hybrid solar-biomass power plants in India (2012, background): “Kalogirou [60] presents a comprehensive review on artificial intelligence systems for combustion processes, including boilers and gas engines.”