this paper presents a comparative study between three versions of adaptive neuro-fuzzy inference system (anfis) algorithms and a pseudo-forward equation (pfe) to characterize the north sea reservoir (f3 block) based on seismic data. according to the statistical studies, four attributes (energy, envelope, spectral decomposition and similarity) are known to be useful as fundamental attributes in ...

Dengue disease is considered as one of the life threatening disease that has no vaccine to reduce its case fatality. In clinical practice the case fatality of dengue disease can be reduced to 1% if the dengue patients are hospitalized and prompt intravenous fluid therapy is administrated. Yet, it has been a great challenge to the physicians to decide whether to hospitalize the dengue patients o...

Earnings per share (EPS) represents the profitability of a common stock and the financial performance of a particular company. Therefore, EPS is often regarded as a major indicator for investors to purchase stocks. The traditional approach is to use a conventional linear time series model for EPS prediction. However, the results would be in doubt when the forecasting problems are nonlinear. For...

Now a days the general manufacturing problem can be described as the achievement of a predefined product quality with given equipment, cost and time constraints. There is a rapid development in the quality of advanced aero space materials like aluminum and its alloys with improved properties. The difficulties in machining of these materials economically and effectively are limiting their applic...

In the present study, the energetic and economic modeling of lentil and chickpea production in Esfahan province of Iran was conducted using adaptive neuro-fuzzy inference system (ANFIS) and linear regression. Data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. The results showed that the yield and total energy consumpti...

In a modeling process of a real world problem, there usually are a huge number of potential inputs involved. A large number of inputs may increase the complexity in computation and cause other problems related to running time, memory spaces, etc. In the case of modeling process with large input, the number of inputs should be reduced and the priority inputs should be determined by an optimal se...

The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylinder of a diesel internal combustion engine. The technique involved extraction of necessary representative features from a collection of raw image data. A comparative evaluation of two fuzzy-derived techniques for modelli...

Photovoltaic merupakan pembangkit energy listrik terbarukan yang sangat cocok untuk negara trapis banyak mendapat sinar matahari. Akan tetapi ini mempunyai efisiensi masih kecil. Untuk mengatasi kekurangan ini, beberapa peneliti telah megoptimasi dengan metode dual axis tracking solar secara konvensional. Diperlukan penelitian mengoptimasi menggunakan kecerdasan buatan, dalam hal Adaptive Neuro...

ANFIS-type algorithms have been used in various modeling and simulation problems. With the help of with more accuracy adaptability, it is possible to obtain better real-life emulating models. A critical environmental problem discharge saline industrial effluents form buoyant jets into water bodies. Given potentially harmful effects from desalination plants on marine environment coastal ecosyste...