When used for function approximation purposes, neural networks belong to a class of models whose parameters can be separated into linear and nonlinear, according to their influence in the model output. This concept of parameter separability can also be applied when the training problem is formulated as the minimization of the integral of the (functional) squared error, over the input domain. Us...

In this paper, we introduce a new rough set approach, which is called the limited dominance-based rough set model into the incomplete decision system. The limited dominance relation is different from the traditional dominance relation in the incomplete environment because we are on the assumption that the unknown value can only be compared with the maximal or minimal value in the domain of the ...

This paper is concerned with the problem of exponential stabilization for a class of uncertain nonlinear systems with state delay by means of periodically intermittent control. Based on the Lyapunov-Krasovskii functional approach, several sufficient conditions of exponential stabilization for this class of uncertain nonlinear systems with state delay are proposed, which have been expressed in t...

*Correspondence: [email protected] 1Department of Mathematics, Yibin University, Yibin, Sichuan 644007, China Full list of author information is available at the end of the article Abstract In this paper, new stochastic global exponential stability criteria for delayed impulsive Markovian jumping p-Laplace diffusion Cohen-Grossberg neural networks (CGNNs) with partially unknown transition rate...

Distribution is a tool for creating a competitive advantage. In choosing the distribution method, costs should be taken into account. In this research I will explain distribution channels that include intensive distribution, selective distribution and exclusive distribution. Exactly, the intensive distribution as the one of the main distribution channels will be explained. Also the advantages a...

presence of risks and uncertainties inherent in project development and implementation playssignificant role in poor project performance. thus, there is a considerable need to have an effective riskanalysis approach in order to assess the impact of different risks on the project objectives. a powerful riskanalysis approach may consider dynamic nature of risks throughout the life cycle of the pr...

Integration and coherence within a city’s physical structure have become an issue for towns and cities as theyrapidly expand, incorporate new elements, and undergo incessant changes. At present, we are facing an extensive accumulation of signs and traits in modern urban patterns; many unaccustomed to and incongruous are affecting the socio-cultural and physical characters of cities. Here, we wi...

Background: Addiction brings about severe and profound physical, psychological and social damages such as divorce, crime, and unemployment. The present study was to investigate the effectiveness of transactional analysis (TA) therapy on addiction intensity of woman patients treated with methadone.Methods: The research design was quasi-experimental with a pretest-posttest and a control group. Th...

in this paper, a novel approach for multi response optimization is presented. in the proposed approach, response variables in treatments combination occur with a certain probability. moreover, we assume that each treatment has a network style. because of the probabilistic nature of treatment combination, the proposed approach can compute the efficiency of each treatment under the desirable reli...

in order to respond to the problem of urban decline, different approaches have been defined in sucha way that urban regeneration approach became current in the 1980s (and more wildly after 1995) as a replacement for urban renewal. urban regeneration is the holistic process of reversing economic, social and physical decay in areas where it has reached a stage when market forces alone will not su...