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Mark Willis
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GPTIPS: an open source genetic programming toolbox for multigene symbolic regression
DP Searson, DE Leahy, MJ Willis
Proceedings of the International multiconference of engineers and computer …, 2010
5782010
Artificial neural networks in process engineering
MJ Willis, C Di Massimo, GA Montague, MT Tham, AJ Morris
IEE proceedings D (control theory and applications) 138 (3), 256-266, 1991
3531991
Artificial neural networks in process estimation and control
MJ Willis, GA Montague, C Di Massimo, MT Tham, AJ Morris
Automatica 28 (6), 1181-1187, 1992
3451992
Steady-state modelling of chemical process systems using genetic programming
B McKay, M Willis, G Barton
Computers & chemical engineering 21 (9), 981-996, 1997
2001997
Proportional-integral-derivative control
MJ Willis
Dept. of Chemical and Process Engineering University of Newcastle 6, 28, 1999
1681999
Artificial neural networks: studies in process modelling and control: Process operation and control
AJ Morris, GA Montague, MJ Willis
Chemical engineering research & design 72 (1), 3-19, 1994
1661994
Towards improved penicillin fermentation via artificial neural networks
C Di Massimo, GA Montague, MJ Willis, MT Tham, AJ Morris
Computers & chemical engineering 16 (4), 283-291, 1992
1491992
Modelling chemical process systems using a multi-gene genetic programming algorithm
M Hinchliffe, MJ Willis, H Hiden, MT Tham, B McKay, GW Barton
Genetic Programming: Proceedings of the First Annual Conference (late …, 1996
1441996
Genetic programming: An introduction and survey of applications
MJ Willis, HG Hiden, P Marenbach, B McKay, GA Montague
Second international conference on genetic algorithms in engineering systems …, 1997
1431997
Using a tree structured genetic algorithm to perform symbolic regression
B McKay, MJ Willis, GW Barton
First international conference on genetic algorithms in engineering systems …, 1995
1271995
Co‐evolution of non‐linear PLS model components
D Searson, M Willis, G Montague
Journal of Chemometrics: A Journal of the Chemometrics Society 21 (12), 592-603, 2007
1182007
Non-linear principal components analysis using genetic programming
HG Hiden, MJ Willis, MT Tham, GA Montague
Computers & chemical engineering 23 (3), 413-425, 1999
1181999
Rapid, automated determination of reaction models and kinetic parameters
CJ Taylor, M Booth, JA Manson, MJ Willis, G Clemens, BA Taylor, ...
Chemical Engineering Journal 413, 127017, 2021
842021
Systems modelling using genetic programming
M Willis, H Hiden, M Hinchliffe, B McKay, GW Barton
Computers & chemical engineering 21, S1161-S1166, 1997
781997
Advanced process control
MJ Willis, MT Tham
Department of Chemical and Process Engineering, University of Newcastle Upon …, 1994
761994
Dynamic systems modelling using genetic programming
MP Hinchliffe, MJ Willis
Computers & Chemical Engineering 27 (12), 1841-1854, 2003
642003
Bioprocess model building using artificial neural networks
C Di Massimo, MJ Willis, GA Montague, MT Tham, AJ Morris
Bioprocess Engineering 7 (1), 77-82, 1991
601991
Intensified design of experiments for upstream bioreactors
M von Stosch, MJ Willis
Engineering in Life Sciences 17 (11), 1173-1184, 2017
592017
Hybrid approach to modeling an industrial polyethylene process
M Hinchliffe, G Montague, M Willis, A Burke
AIChE journal 49 (12), 3127-3137, 2003
512003
Achieving pH and Qr oscillations in a palladium-catalysed phenylacetylene oxidative carbonylation reaction using an automated reactor system
K Novakovic, C Grosjean, SK Scott, A Whiting, MJ Willis, AR Wright
Chemical physics letters 435 (1-3), 142-147, 2007
472007
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