En el bombeo mecánico de petróleo, para minimizar los costos operativos y maximizar la producción, es esencial identificar problemas forma rápida precisa. El dinagrama fondo pozo decisivo analizar las condiciones trabajo del sistema bombeo, normalmente diagnóstico fallas se ha basado en interpretación visual su forma, por un experto humano. Se presenta una arquitectura (NeFSuckerRod) automático...

This paper evaluates the performance of ten significance measures applied to the problem of determining an appropriate network structure, for data modelling with neurofuzzy systems. The advantages of Neurofuzzy systems are demonstrated with application to both real and synthetic data interpretation problems.

In this paper, a neurofuzzy adaptive control framework for discrete-time systems based on kernel smoothing regression is developed. Kernel regression is a nonparametric statistics technique used to determine a regression model where no model assumption has been done. Due to similarity with fuzzy systems, kernel smoothing is used to obtain knowledge about the structure of the fuzzy system and th...

Marquees are temporary light structures that are connected to the ground by tensile anchors to resist forces imposed by wind acting on the structure. Failures of such structures are not rare and have resulted in deaths and tens of thousands of dollars of damage. Consequently, an accurate estimation of the ultimate pullout capacity of ground anchors is essential; however, current methods for est...

This paper investigates the nonlinear predictability of technical trading rules based on a recurrent neural network as well as a neurofuzzy model. The efficiency of the trading strategies was considered upon the prediction of the direction of the market in case of NASDAQ and NIKKEI returns. The sample extends over the period 2/8/1971–4/7/1998 while the sub-period 4/8/1998–2/5/2002 has been rese...

1.1 A Transputer Mobile Robotics System Mobile robots have received a considerable attention from early research community, from (A. Benmounah, 1991), (Maamri, 1991), (Meystel, 1991) up to this instant (Hegazy, et. al, 2004), and (Pennacchio, et. al., 2005). A fuzzy or neural control Transputer based control mobile robots has received, rather, little attention. A number of, are (Welgarz,1994), ...

A neural network can approximate a function, but it is impossible to interpret the result in terms of natural language. The fusion of neural networks and fuzzy logic in neurofuzzy models provide learning as well as readability. Control engineers find this useful, because the models can be interpreted and supplemented by process operators.

This paper reports on the design and implementation of a neurofuzzy system for modelling and controlling drilling processes in an Ethernet-based application. The neurofuzzy system in question is an Adaptive Network based Fuzzy Inference System (ANFIS), where fuzzy rules are obtained from input/output data. The design of the control system is based on the internal model control paradigm. The mai...

The present paper describes a feature extraction method based on -band wavelet packet frames for segmenting remotely sensed images. These wavelet features are then evaluated and selected using an efficient neurofuzzy algorithm. Both the feature extraction and neurofuzzy feature evaluation methods are unsupervised, and they do not require the knowledge of the number and distribution of classes c...