Explanation-based learning with analogy for impasse resolution (2016)
Journal Article
Timperley, M., Mokhtar, M., Bellaby, G., & Howe, J. (2016). Explanation-based learning with analogy for impasse resolution. Expert Systems with Applications, 61, 181-191. https://doi.org/10.1016/j.eswa.2016.05.030

This paper proposes an algorithm for the inclusion of analogy into Explanation-Based Learning (EBL). Analogy can be used when an impasse is reached to extend the deductive closure of EBL’s domain theory. This enables the generation of control laws, v... Read More about Explanation-based learning with analogy for impasse resolution.

A novel low power FSM partition approach and its implementation. (2005)
Journal Article
Xia, Y., Ye, X., Wang, L. Y., Tao, J., & Almaini, A. E. A. (2005). A novel low power FSM partition approach and its implementation. NORCHIP Conference, 102-105. https://doi.org/10.1109/NORCHP.2005.1596999

A new Finite State Machine (FSM) partioning approach is proposed in this paper. A genetic algorithm (GA) is employed to search the optimal or near optimal solution. A new cost function is used to guide the optimisation. The proposed algorithm is impl... Read More about A novel low power FSM partition approach and its implementation..

FPGA placement using genetic algorithm with simulated annealing. (2005)
Journal Article
Yang, M., Almaini, A. E. A., Wang, L. Y., & Wang, P. (2005). FPGA placement using genetic algorithm with simulated annealing. ASICON, 2, 808-811. https://doi.org/10.1109/ICASIC.2005.1611450

A mixed Genetic Algorithm and Simulated Annealing (GASA) algorithm is used for the placement of symmetrical FPGA. The prpoposed algortithm includes 2 stage processes. In the first stage process it optimizes placement solutions globally using GA. In t... Read More about FPGA placement using genetic algorithm with simulated annealing..

Neural network for model based predictive control of a polymerisation reactor (2002)
Presentation / Conference Contribution
AbdulRahman, A., Soufian, M., Mokbel, A. A., & Soufian, M. (2002, December). Neural network for model based predictive control of a polymerisation reactor. Presented at 4th International Conference on Recent Advances in Soft Computing

No abstract available.

An expert system for the performance control of rotating machinery. (2000)
Thesis
Pearson, W. N. An expert system for the performance control of rotating machinery. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/id/eprint/6888

This research presented in this thesis examines the application of feed forward neural
networks to the performance control of a gas transmission compressor. It is estimated that a
global saving in compressor fuel gas of 1% could save the production... Read More about An expert system for the performance control of rotating machinery..

Modelling and Recognition of Biological MALDI Patterns (2000)
Presentation / Conference Contribution
Soufian, M., & Claydon, M. (2000, October). Modelling and Recognition of Biological MALDI Patterns. Paper presented at The 7th Uk Workshop on Fuzzy Systems,

No abstract available.

Parallel genetic algorithms for optimised fuzzy modelling with application to a fermentation process (1997)
Presentation / Conference Contribution
Soufian, M., & Soufian, M. (1997, September). Parallel genetic algorithms for optimised fuzzy modelling with application to a fermentation process. Presented at Second International Conference on Genetic Algorithms in Engineering Systems

This paper reports the construction and application of an evolution program to a computational intelligence system used as a software 'sensor' in state-estimation and prediction of biomass concentration in a fermentation process. A fuzzy logic system... Read More about Parallel genetic algorithms for optimised fuzzy modelling with application to a fermentation process.

A fuzzy neural network sensor for fermentation processes (1997)
Presentation / Conference Contribution
Soufian, M., & Soufian, M. (1997, April). A fuzzy neural network sensor for fermentation processes. Presented at International Conference, 5th Fuzzy Days, Dortmund, Germany

In this paper computational intelligence has been considered as a tool (software sensor) in state- estimation and prediction of biomass concentration in a fermentation process. An optimised fuzzy system based on genetic algorithm, an artificial neura... Read More about A fuzzy neural network sensor for fermentation processes.