Intelligensys Formulating Knowledge - neural computing in product formulation

Developing better products faster

Scientific Papers

The papers listed below are by our academic collaborators - all have made some use of INForm and FormRules, together with some of the other technologies we are evaluating.

Improving knowledge of plant tissue culture and media formulation by neurofuzzy logic: A practical case of data mining using apricot databases, J. Gago, O. Perez-Tornero, M. Landin, L. Burgos, P. P. Gallego, J Plant Physiology 168 1858-1865 (2011)
Predicting the clinical effect of a short acting bronchodilator in individual patients using artificial neural networks, Marcel de Matas, Qun Shao, Martyn F Biddiscombe, Sally Meah, Henry Chrystyn, Omar S Usmani, Eur. J. Pharm. Sci., doi:10.1016/j.ejps.2010.09.018 (2010)
A neurofuzzy logic approach for modeling plant processes: A practical case of in vitro direct rooting and acclimatization of Vitis vinifera L., J. Gago, M. Landin and P. P. Gallego, Plant Science 179 241-249 (2010)
Artificial neural networks modeling the in vitro rhizogenesis and acclimatization of Vitis vinifera L., J. Gago, M. Landín, & P.P. Gallego, Journal of Plant Physiology 167 1226-1231 (2010)
Strengths of artificial neural networks in modelling complex plant processes, J. Gago, M. Landin and P. P. Gallego, Plant Signaling and Behavior 5:6, 1-3, June 2010
Artificial neural networks as an alternative to the traditional statistical methodology in plant research, J. Gago, L.Martinez-Nunez, M.Landin, and P.P.Gallego, Journal of Plant Physiology 167 23-27 (2010)

Application of design of experiment (DOE) to polymorph screening and subsequent data analysis, James F McCabe, CrystEngComm 12 1110 - 1119 (2010)
Advantages of neurofuzzy logic against conventional experimental design and statistical analysis in studying and developing direct compression formulations, M. Landin, R.C. Rowe and P. York , European Journal of Pharmaceutical Sciences 38 325-331 (2009)
Multipronged Evaluation of Genotoxicity in Indian Petrol-Pump Workers, Alok K. Pandey, Mahima Bajpayee, Devendra Parmar, Rakesh Kumar, Subodh K. Rastogi, Neeraj Mathur, Paul Thorning, Marcel de Matas, Qun Shao, Diana Anderson, and Alok Dhawan, Environmental and Molecular Mutagenesis 49 695-707 (2008)
Determination of factors controlling the particle size in nanoemulsions using artificial neural networks, A Amani, P York, H Chrystyn, B J Clark and D Q Do, European Journal of Pharmaceutical Sciences 35 42-51 (2008)
Evaluation of in vitro in vivo correlations for dry powder inhaler delivery using artificial neural networks, Marcel de Matas, Qun Shao, Catherine Richardson and Henry Chrystyn, European Journal of Pharmaceutical Sciences 33 80-90 (2008)
Data Mining of Fractured Experimental Data using Neurofuzzy Logic - Discovering and Integrating Knowledge Hidden in Multiple Formulation Databases for a Fluid-Bed Granulation Process, Q Shao, R C Rowe and P York, J Pharm Sci 97 2091-2101 (2008)
Using intelligent software to predict the effects of formulation and processing parameters on roller compaction, R Mansa, R Bridson, R Greenwood, H Barker and J P K Seville, J Powder Technology 181 217-228 (2007)
Evaluation of an in vivo in vitro correlation for nebulizer delivery using artificial neural networks, Marcel de Matas, Qun Shao, Victoria Louise Silkstone and Henry Chrystyn, Journal of Pharmaceutical Sciences 96 3293-3303 (2007)
Investigation of an artificial intelligence technology - model trees: Novel applications for an immediate release tablet formulation database, Q Shao, R C Rowe and P York, European J Pharm Sci, 31 137-144 (2007)
Comparison of neurofuzzy logic and decision trees in discovering knowledge from experimental data of an immediate release tablet formulation, Q Shao, R C Rowe and P York, European J Pharm Sci, 31 129-136 (2007)
Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation, Q Shao, R C Rowe and P York, European J Pharm Sci 28 394-404 (2006)