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.
Nuclear magnetic resonance (NMR) is used in geological characterization to investigate the internal structure of geomaterials filled with fluids containing 1H and 13C nuclei. Subsurface NMR measurements are generally acquired as well logs that provide information about fluid mobility and fluid-filled pore size distribution. Acquisition of subsurface NMR log is limited due to operational and instrumentation...
Abrasion resistance of solution polymerized styrene-butadiene rubber (SSBR) based composites is a typical and crucial property in practical applications. Previous studies show that the abrasion resistance can be calculated by the multiple linear regression model. In our study, considering this relationship can also be described into the non-linear conditions, a Multilayer Feed-forward Neural Networks...
Determination of boiling range of xylene mixed in PX device is currently a crucial topic in the practical applications because of the recent disputes of PX project in China. In our study, instead of determining the boiling range of xylene mixed by traditional approach in laboratory or industry, we successfully established two Artificial Neural Networks (ANNs) models to determine the initial boiling...
Wood increment is critical information in forestry management. Previous studies used mathematics models to describe complex growing pattern of forest stand, in order to determine the dynamic status of growing forest stand in multiple conditions. In our research, we aimed at studying non-linear relationships to establish precise and robust Artificial Neural Networks (ANN) models to predict the precise...
Dulong-Petit law is an ordinary description of specific heat capacity, which states that the heat capacity per weight (i.e., mass-specific heat capacity) for a number of substances becomes close to a constant value. In our study, we trained 30 groups' data of metal elementary substances to establish a general regression neural network (GRNN) model within NeuralTools Software to predict the constant...
Proteins interact with each other with their binding sites. In this paper, we classify types of interactions using physicochemical properties information of the binding site. We distinguish between permanent protein interactions and transient protein interactions. Basic data of the amino acids on binding sites are retrieved. A method using genetic programming to construct features from the basic data...
In traditional ultrasonic flow measurement, temperature has great great influence on the speed of sound. To insure high accuracy and sensitivity measurement of ultrasonic flow meter, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (Back Propagation) neural network. The system hardware structure design...
Based on the static Preisach hysteresis model, the technology of ANN is applied for the Piezoelectric Smart Materials. The BP network is chosen as the method of identifying non-linear system. Adopting this method one sample's hysteresis model is built. The results have shown that this method is correct and effective.
Due to the widespread deployment of OFDM and recent advent of cognitive radio communications, robust and simple spectrum sensing techniques for OFDM signals receive significant research interest. In this paper, a time domain pilot correlation (TDPC) technique, which overcomes the complexity of FFT-based pilot sensing methods, is proposed. The TDPC technique provides an efficient and simple spectrum...
In order to eliminate the influence of temperature on ultrasonic flow measurement, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (back propagation) neural network. The network is adjusted by measuring samples to compensate temperature loss of the ultrasonic flow measurement system. The simulation...
The individual preferences for gains, losses, and uncertain events, which are first proposed by prospect theory, are rarely considered in current MADM methods. To solve this problem, a MADM alternative ranking approach under uncertainty is presented. The presented approach proposes a method for eliciting individual preferences for gains, losses and uncertain events by using the trade off method and...
To solve the problems that the optimal prospect is usually selected questionably in conventional methods resulting from uncertainties existing in subjective preference judgments, an approach to select efficient prospects is presented by means of a small quantity of relatively accurate information. The presented approach uses the trade off and the certainty equivalent methods to elicit individual preferences...
A new discrete array signal with good periodic correlation property is discussed, which is ZCZ array pairs. The invariant transformation properties of it were presented. Based on perfect array pair and orthogonal matrix, ZCZ array pairs set with certain volume, family size and zero correlation zone can be synthesized through row or column interleaved technique. Except the binary case, this technique...
In order to satisfy the needs for acquisition and reuse of product knowledge during the modern product development processes, a framework of product knowledge management was proposed. It contains five main components: design repository, OLAP, knowledge reduction, CBR system, and machine learning. Design repository is responsible for organizing various kinds of knowledge from different data sources...
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.