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Modeling thermal conductivity, specific heat, and density of milk: A neural network approach
(Marcel Dekker Inc, 2004-11-01)
The accurate determination of thermophysical properties of milk is very important for design, simulation, optimization, and control of food processing such as evaporation, heat exchanging, spray drying, and so forth. ...
Modeling thermal conductivity, specific Heat, and density of milk: A neural network approach
(2004-01-01)
The accurate determination of thermophysical properties of milk is very important for design, simulation, optimization, and control of food processing such as evaporation, heat exchanging, spray drying, and so forth. ...
Gait restoration in a spinal cord injured subject via neuromuscular electrical stimulation controlled by an artificial neural network
(Wichtig EditoreMilanItália, 1998)
Neural network-based H(infinity) control for fully actuated and underactuated cooperative manipulators
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
This paper develops H(infinity) control designs based on neural networks for fully actuated and underactuated cooperative manipulators. The neural networks proposed in this paper only adapt the uncertain dynamics of the ...
Speed estimation for induction motor using neural networks method
(2013-07-15)
This work presents an alternative approach based on neural network method in order to estimate speed of induction motors, using the measurement of primary variables such as voltage and current. Induction motors are very ...
Tracking control of robot manipulators using second order neuro sliding mode
(2009)
Few works on neural networks-based robot controllers address the issue of how many units of neurons, hidden layers and inputs are necessary to approximate any functions up to a bounded approximation error. Thus, most ...
Neural network applications in polymerization processes
(Brazilian Society of Chemical Engineering, 2005)
Uma metodologia para o controle de seguranca dinamica de sistemas de energia eletrica
(1998-05-01)
This work presents an algorithm for the security control of electric power systems using control actions like generation reallocation, determined by sensitivity analysis (linearized model) and optimization by neural networks. ...