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Stock closing price forecasting using ensembles of constructive neural networks
(2014-01-01)
Efficient automatic systems which continuously learn over long periods of time, and manage to evolve its knowledge, by discarding obsolete parts of it and acquiring new ones to reflect recent data, are difficult to be ...
Steel bars identification in reinforced concrete structures by using ANN and magnetic fields
(2005-12-01)
This work proposes a methodology for non destructive testing (NDT) of reinforced concrete structures, using superficial magnetic fields and artificial neural networks, in order to identify the size and position of steel ...
Efficient parametric adjustment of fuzzy inference system using unconstrained optimization
(2007-12-01)
This paper presents a new methodology for the adjustment of fuzzy inference systems, which uses technique based on error back-propagation method. The free parameters of the fuzzy inference system, such as its intrinsic ...
A connectionist approach to airliner safety
(IEEE Computational Intelligence SocietyChinese Academy of SciencesNational Natural Science Foundation of ChinaBeijing, 2014-07)
The present paper introduces the system SINCO-Flightsim, an intelligent hybrid symbolic connectionist approach for the treatment of emergency situations on commercial airliners, currently available as a computer simulation. ...
Non-destructive evaluation tool for monitoring and detection of structural damage by using neural network.
(Soc Experimental Mechanics Inc, 2000-01-01)
This work studies the capability of generalization of Neural Network using vibration based measurement data aiming at operating condition and health monitoring of mechanical systems. The procedure uses the backpropagation ...
Non-destructive evaluation tool for monitoring and detection of structural damage by using Neural Network
(2000-01-01)
This work studies the capability of generalization of Neural Network using vibration based measurement data aiming at operating condition and health monitoring of mechanical systems. The procedure uses the backpropagation ...
Multidimensional polynomial powers of sigmoid (PPS) Wavelet neural networks
(Insticc-inst Syst Technologies Information Control & Communication, 2008-01-01)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...
Multidimensional Polynomial Powers of Sigmoid (PPS) wavelet neural networks
(2008-11-13)
Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural ...