Novel approaches to neural and evolutionary computing in pharmaceutical formulation: challenges and new possibilities. - Wikidata - awgldk - TriplyDB

Novel approaches to neural and evolutionary computing in pharmaceutical formulation: challenges and new possibilities.

Novel approaches to neural and evolutionary computing in pharmaceutical formulation: challenges and new possibilities.

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Mycobacterium avium subsp. paratuberculosis (Map) Fatty Acids Profile Is Strain-Dependent and Changes Upon Host Macrophages Infection.Finding key nanoprecipitation variables for achieving uniform polymeric nanoparticles using neurofuzzy logic technology.Combining DOE With Neurofuzzy Logic for Healthy Mineral Nutrition of Pistachio Rootstocks Culture

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Novel approaches to neural and evolutionary computing in pharmaceutical formulation: challenges and new possibilities.

http://www.wikidata.org/entity/Q37855849

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article científic

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article scientifique

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artigo científico

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bilimsel makale

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scientific article published on July 2009

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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Novel approaches to neural and ...... llenges and new possibilities.

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Novel approaches to neural and ...... llenges and new possibilities.

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Novel approaches to neural and ...... llenges and new possibilities.

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Future Medicinal Chemistry

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Novel approaches to neural and ...... llenges and new possibilities.

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Elizabeth A Colbourn

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Raymond C Rowe

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P2860

The application of generalized regression neural network in the modeling and optimization of aspirin extended release tablets with Eudragit RS PO as matrix substance

Artificial neural networks in the modeling and optimization of aspirin extended release tablets with Eudragit L 100 as matrix substance

Use of artificial neural networks to predict quaternery phase systems from limited experimental data.

Comparison of neurofuzzy logic and neural networks in modelling experimental data of an immediate release tablet formulation.

Formulation optimization of paclitaxel carried by PEGylated emulsions based on artificial neural network.

Data mining of fractured experimental data using neurofuzzy logic-discovering and integrating knowledge hidden in multiple formulation databases for a fluid-bed granulation process.

Pitfalls of artificial neural networks (ANN) modelling technique for data sets containing outlier measurements using a study on mixture properties of a direct compressed dosage form.

Advantages of Artificial Neural Networks (ANNs) as alternative modelling technique for data sets showing non-linear relationships using data from a galenical study on a solid dosage form.

Comparison of artificial neural networks (ANN) with classical modelling techniques using different experimental designs and data from a galenical study on a solid dosage form.

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713-726

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scholarly article

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10.4155/FMC.09.57

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4

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1

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2009-07-01T00:00:00Z

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21426034

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