The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we studied the two most commonly used artificial intelligence methods (Multilayer Perceptron and Radial Basis Function network) to build the credit scoring model of applications, and analyzed the most important restraining factors of the applications of neural network which is the exponential increase in the variables bringing the model over-complex. On this basis, the author combines...
This paper shows inflow forecasting models in the Sobradinho hydroelectric plant which are based on artificial intelligence tools: ANN and fuzzy logic. In the first models two ANNs were chosen to forecast the monthly inflow in the period of one year ahead; in the second, an ANN and an ANFIS (Adaptive Neuro-Fuzzy Inference System) were used to accomplish the forecasting in the period of one and two...
The study on the bearing capacity and settlement is important to a project. It is useful and concrete to develop a model with some intelligent methods in artificial intelligence area for the prediction of some big structure projects. The validity of the models has been proved by some civil engineering practices. Therefore, the research of bearing capacity and settlement characteristics of rigid pile...
Machining empirical models for surface roughness based on statistical or artificial intelligence (AI) approaches have been intensively studied during last decades. However, there is no industrial methodology to be applied in industry due to the time consuming and costly experimental procedures required. Furthermore, continuous changes in the cutting process such as cutting-tool replacements or changes...
In this paper, we present a scheme of steganalysis of JPEG images with the use of polynomial fitting and computational intelligence techniques. Based on the Generalized Gaussian Distribution (GGD) model in the quantized DCT coefficients, the errors between the logarithmic domain of the histogram of the DCT coefficients and the polynomial fitting are extracted as features to detect the adulterated...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.