Now showing items 1-6 of 6
Neural network model-based predictive control of liquid–liquid extraction contactors
( Elsevier Ltd , 2004 , Article)
The inherent complex nonlinear dynamic characteristics and time varying transients of the liquid–liquid extraction process draw the attention to the application of nonlinear control techniques. In this work, neural ...
Representation of Adsorption Data for the Isopropanol-Water System using Neural Network Techniques
( WILEY-VCH Verlag , 2005 , Article)
Molecular sieves and palm stone, a newly developed bio-based adsorbent, were used to break an azeotropic isopropanol-water system via an adsorptive distillation process. Equilibrium data at different inlet water contents ...
MASACAD: A multi-agent approach to information customization for the purpose of academic advising of students
( Elsevier B.V. , 2006 , Article)
The growth and advancement in the Internet and the World Wide Web has led to an explosion in the amount of available information. This staggering amount of information has made it extremely difficult for users to locate ...
An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy
( Elsevier Inc. , 2003 , Article)
In this paper we present a comprehensive Maximum Entropy (MaxEnt) procedure for the classification tasks. This MaxEnt is applied successfully to the problem of estimating the probability distribution function (pdf) of a ...
Adaptive and Predictive Control of Liquid-Liquid Extractors Using Neural-Based Instantaneous Linearization Technique
( WILEY-VCH Verlag GmbH & Co. , 2006 , Article)
Nonlinearity of the extraction process is addressed via the application of instantaneous linearization to control the extract and raffinate concentrations. Two feed-forward neural networks with delayed inputs and outputs ...
Artificial neural network-based kinematics Jacobian solution for serial manipulator passing through singular configurations
( Elsevier Ltd , 2009 , Article)
Singularities and uncertainties in arm configurations are the main problems in kinematics robot control resulting from applying robot model, a solution based on using Artificial Neural Network (ANN) is proposed here. The ...