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A fast electric load forecasting using adaptive neural networks
(2003-12-01)
This work presents a procedure for electric load forecasting based on adaptive multilayer feedforward neural networks trained by the Backpropagation algorithm. The neural network architecture is formulated by two parameters, ...
Estimation of electrical machine speed using sensorless technology and neural networks
(2008-12-01)
The use of sensorless technologies is an increasing tendency on industrial drivers for electrical machines. The estimation of electrical and mechanical parameters involved with the electrical machine control is used very ...
Environment mapping for mobile robots navigation using hierarchical neural network and omnivision
(2008-11-24)
Autonomous robots must be able to learn and maintain models of their environments. In this context, the present work considers techniques for the classification and extraction of features from images in joined with artificial ...
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 ...
Neural networks models for wear patterns recognition of single-point dresser
(2013-09-24)
Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the ...
Application of MLP and Kohonen networks for recognition of wear patterns of single-point dressers
(2013-04-03)
Grinding is a parts finishing process for advanced products and surfaces. However, continuous friction between the workpiece and the grinding wheel causes the latter to lose its sharpness, thus impairing the grinding ...
An adaptive system based on artificial neural networks for NPK fluid fertilizer application
(Elsevier B.V., 2000-01-01)
The application process of fluid fertilizers through variable rates implemented by classical techniques with feedback and conventional equipments can be inefficient or unstable. This paper proposes an open-loop control ...
Determination of resonant frequencies of triangular and rectangular microstrip antennas, using artificial neural networks
(2005-12-01)
This paper presents models that can be used in the design of microstrip antennas for mobile communications. The antennas can be triangular or rectangular. The presented models are compared with deterministic and empirical ...
Neural network for prediction of holes diameters and surface roughness in drilling process
(2011-06-13)
Several systems are currently tested in order to obtain a feasible and safe method for automation and control of drilling process. This work aims to predict the final diameters and surface roughness of titanium (Ti-6A1-4V) ...