Frank Pettersson

Orcid: 0000-0002-6026-9031

According to our database1, Frank Pettersson authored at least 13 papers between 2003 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2014
Pruned-bimodular neural networks for modelling of strength-ductility balance of HSLA steel plates.
Int. J. Artif. Intell. Soft Comput., 2014

2010
A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

2009
A Methodology for Developing Nonlinear Models by Feedforward Neural Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 9th International Conference, 2009

2008
Heat exchanger network design using geometric mean temperature difference.
Comput. Chem. Eng., 2008

2007
A genetic algorithms based multi-objective neural net applied to noisy blast furnace data.
Appl. Soft Comput., 2007

Hybrid ant colony optimization and visibility studies applied to a job-shop scheduling problem.
Appl. Math. Comput., 2007

Mining Data from a Metallurgical Process by a Novel Neural Network Pruning Method.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007

A Data Mining Method Applied to a Metallurgical Process.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

2006
Method for the selection of inputs and structure of feedforward neural networks.
Comput. Chem. Eng., 2006

2005
Synthesis of large-scale heat exchanger networks using a sequential match reduction approach.
Comput. Chem. Eng., 2005

2003
Optimization of Large-scale Heat Exchanger Network Synthesis Problems.
Proceedings of the IASTED International Conference on Modelling and Simulation (MS 2003), 2003

A hybrid algorithm for weight and connectivity optimization in feedforward neural networks.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 2003

Scheduling a specific type of batch process with evolutionary computation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


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