Prediction of the Partition Coefficients of Biomolecules in Polymer-Polymer Aqueous Two-Phase Systems Using the Artificial Neural Network Model

Author： Pazuki G. R.

Publisher： Taylor & Francis Ltd

ISSN： 0272-6351

Source： Particulate Science and Technology, Vol.28, Iss.1, 2010-01, pp. : 67-73

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

PREDICTION OF EQUILIBRIUM PHASE COMPOSITIONS AND -GLUCOSIDASE PARTITION COEFFICIENT IN AQUEOUS TWO-PHASE SYSTEMS

By Gautam Shalini Simon Laurent

Chemical Engineering Communications, Vol. 194, Iss. 1, 2007-01 ,pp. : 117-128

Taylor & Francis Ltd

Access to resources Recommend Favorite

ARTIFICIAL NEURAL NETWORKS IN LIQUID-LIQUID TWO-PHASE FLOW

By Shirley R.

Chemical Engineering Communications, Vol. 199, Iss. 12, 2012-12 ,pp. : 1520-1542

Taylor & Francis Ltd

Access to resources Recommend Favorite

Prediction of the Partition Coefficient for Acetic Acid in a Two-Phase System Soybean Oil-Water

By Sinadinović-Fišer Snežana Janković Milovan

Journal of the American Oil Chemists' Society, Vol. 84, Iss. 7, 2007-07 ,pp. : 669-674

Springer Publishing Company

Access to resources Recommend Favorite

CORRELATION AND PREDICTION OF VLE OF WATER + CONGENER MIXTURES FOUND IN ALCOHOLIC BEVERAGES USING AN ARTIFICIAL NEURAL NETWORK

By Faundez Claudio

Chemical Engineering Communications, Vol. 198, Iss. 1, 2011-01 ,pp. : 102-119

Taylor & Francis Ltd

Access to resources Recommend Favorite

Constrained optimization of combustion in a simulated coal-fired boiler using artificial neural network model and information analysis *

By Chu J.-Z. Shieh S.-S. Jang S.-S. Chien C.-I. Wan H.-P. Ko H.-H.

Fuel, Vol. 82, Iss. 6, 2003-04 ,pp. : 693-703

Elsevier

Access to resources Recommend Favorite