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Xenopus brain factor-2 controls mesoderm, forebrain and neural crest development
(1999)
The forkhead type Brain-Factor 2 from mouse and chicken help pattern the forebrain, optic vesicle and kidney. We have isolated a Xenopus homolog (Xbf2) and found that during gastrulation it is expressed in the dorsolateral ...
Projeto E análise de uma rede neural para resolver problemas de programação dinâmica
(2001-01-01)
Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with ...
Identification and predictive control of a FCC unit using a MIMO neural model
(Elsevier Science SaLausanneSuíça, 2005)
Adaptive neural sliding mode compensator for a class of nonlinear systems with unmodeled uncertainties
(Elsevier, 2013-09)
This paper addresses the problem of adaptive neural sliding mode control for a class of multi-input multi-output nonlinear system. The control strategy is an inverse nonlinear controller combined with an adaptive neural ...
Development of neurofuzzy architecture for solving the N-Queens problem
(Taylor & Francis Ltd, 2005-11-01)
Neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of recurrent ...
Artificial neural network model of discharge lamps in the power quality context
(2013-06-01)
This paper presents a methodology for modeling high intensity discharge lamps based on artificial neural networks. The methodology provides a model which is able to represent the device operating in the frequency of ...
A stochastic model of neurogenesis controlled by a single factor
(Academic Press Ltd-elsevier Science Ltd, 2014-08)
The researches on cortical neurogenesis reveal that asymmetric division plays a key role in controlling the balance between the self-renewal of stem cells and the beginning of the neural differentiation. In such a process ...
Sliding Mode Control for Trajectory Tracking of a Non-holonomic Mobile Robot using Adaptive Neural Networks
(Romanian Society of Control Engineering and Technical Informatics, 2014-10)
In this work a sliding mode control method for a non-holonomic mobile robot using an adaptive neural network is proposed. Due to this property and restricted mobility, the trajectory tracking of this system has been one ...
Neural models for predicting hole diameters in drilling processes
(Elsevier B. V., 2013)
The control of industrial manufacturing processes is of great economic importance due to the ongoing search to reduce raw materials and labor wastage. Indirect manufacturing operations such as dimensional quality control ...
Neural models for predicting hole diameters in drilling processes
(Elsevier B. V., 2013)
The control of industrial manufacturing processes is of great economic importance due to the ongoing search to reduce raw materials and labor wastage. Indirect manufacturing operations such as dimensional quality control ...