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.
This research uses the extension neural network type-1 (ENN-1) method for air pollution inspected by remote sensing data of automobile's exhaust. The outdated automobiles emit exhaust as part of the moving air pollutants. To lessen the air pollution effectively and improve the efficiency of remote sensing tools, this paper develop a automatic inspected method based on the ENN-1 and using the data...
In this paper, rough set theory is applied to evaluate the stability of rock slope through the analysis to slope failure examples. Genetic algorithms (GA) is incorporated to reduce attributes and the corresponding evaluation knowledge is used to build an expert system on rock slope stability evaluation. The system adopts inexact reasoning and default reasoning methods to deal with incomplete match...
The protein major histocompatibility complex (MHC) plays a critical role in immune system with important biological functions. Inspired by the features of MHC, this paper presents an immune evolutionary algorithm (MHCIEA). This algorithm uses the metaphor of mapping "optimization problem solving" onto the model of immune system with MHC, which is defined as a sub-solution to accelerate optimization...
Fuzzy extension matrix (FEM) inductive learning is an important method that generates knowledge from cases. Compared with conventional extension matrix techniques, it is more powerful and practical to handle with ambiguities in classification problems. Rule extraction from fuzzy extension matrix involves three parameters alpha, beta and gamma. These parameters play an importation role in the entire...
TDRS (Tracking and Data Relay Satellite) can be seen as a bridge between user spacecrafts and ground station. The TDRSS (Tracking and Data Relay Satellite System) single access link scheduling problem is an important application field of TDRSS. The important character of the scheduling problem lies in that there is time windows constraint between TDRS and user spacecrafts. Tasks can be completed only...
This paper presents the performances of meta heuristic search algorithms in solving short-term hydro thermal scheduling problems. Meta heuristic search algorithms like GA, CEP, FEP, IFEP and PSO have been developed for hydrothermal scheduling problems. The performances of the algorithms are demonstrated on a test case. It has been observed that all the algorithms are capable of finding very nearly...
The k-NNC error varies with the value of k, when the number of training patterns is fixed. Therefore the combination of multiple k-NNCs with different k may improve the accuracy of the whole system. In this paper, multiple k-NNCs with different k are combined by fuzzy integral. The value of k and the density value for each classifier are automatically learned by GA. Experiments on three UCI databases...
According to QoS (quality of service) of computing resources in grid, a 2-tier hybrid algorithm is proposed for independent tasks scheduling with time-cost minimization. QGMM (QoS Guided Min-Min, presented by He Xiao Shan et al., Journal of Computer Science and Technology, 2003) is adopted in the first level to obtain a schedule with optimized completion time. A GA (genetic algorithm) only with mutation...
The genetic algorithms (GAs) are used to optimize design for a non-minimum phase (NMP) system with time delay. The intelligent composite control strategy can effectively eliminate the overshoot and undershoot of a NMP system. In order to guarantee the smooth switch of the control modes, the fuzzy inference and optimization are imported. The simulation results show that the performance of control system...
In order to increase the knowledge representation power and improve generalization capability of fuzzy production rules (FPRs), a weighted FPRs (WFPRs), which incorporates the concepts of knowledge representation parameters (local weight, global weight and threshold), has been presented. However, the acquisition of these knowledge representation parameters is significant but difficult. This paper...
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.