[PDF] Top 20 BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION

... novel attribute reduction method based on BA and ...proposed algorithm can locate an optimal reduct, numerical experiments has been conducted on 13 well-known ...other attribute ... See full document

... Suppose the initial position is (0m, 0m), the desired position is (10m, 10m). Select the module of Constant as our input and set its value as 10, parameters of PID valued as p=10; i=0.01; d=3. The module of Pid1 ... See full document

... built by combining grey model and neural network model, which expands the application scope of GM(1,1) and improves the forecasting precision. In addition, the parameters of the grey neural network model influence the ... See full document

... 107 distribution. In order to make this algorithm quickly create curve, we propose programming solving, using this method significantly accelerate calculating speed. Wireless infrastructure has been widely ... See full document

... OCMS with three different voltages and frequencies, the various performance requirement of CPU can be rapidly responded by DVFS architecture at the first moment, thus the speed and accuracy of tracking CPU workload are ... See full document

... heuristics algorithm have been successfully applied to AB model, such as simulated annealing (SA) algorithm [4] , hybrid evolutionary algorithm [5] , genetic annealing algorithm [6] , q uantum ... See full document

... The high frequency circuits usually have a high degree of integration and high density of layout. Using multilayer board is obligatory for the layout as well as an efficient measure for reducing the mutual interferences. ... See full document

... strength reduction finite element method was first proposed by Zienkiewicz and so on ...strength reduction finite element method, and pushed the development and application of this ...the reduction ... See full document

... uncertain attribute value. To a set of submitted tasks, according to different demand user can input the expectations of corresponding weights about completion time, cost and load, then cloud computing ... See full document

... control algorithm possesses the characteristics of self-learning and ...EKF algorithm can effectively suppress the affect of system error and measurement error on state ... See full document

... After the validation of the trained Fuzzy-ANN model, the study further examined the stock selection capability while applying to the real stock market. The whole sample set was used to generate FIS output. For ... See full document

... In order to mobilize students' learning initiative and active participation, improve the experimental teaching, and reduce the evaluation workload of the experiment, this paper presents [r] ... See full document

... As shown in Fig.6, the monitoring software of the host computer can vividly show the experimental platform online running state through the colorful pictures. Click on the monitoring interface related button, it can ... See full document

... The core principles of creating value of supply chain is reducing the cost of enterprise internal existed on supply chain by the cooperation between the enterprises and functional depart[r] ... See full document

... The power network system (PNS) is an important part of the power System, safety and reliability is ensured only by reliability optimized design. By analyzing the influential factors of reliability allocation, the method ... See full document

... The pre-computation of data cubes is critical for improving the response time of OLAP(online analytical processing) systems and accelerating data mining tasks in large data warehouses. However, as the sizes of data ... See full document

... the bi-level programming model of the inland collecting and distributing centre construction and user routing selection based on the port logistic system. Jin (2007) selected Shanghai Port as the research objective, ... See full document

... DATA ACQUISITION SYSTEM Data acquisition subsystem of HMS in Lijiatuo bridge is integrated by optical fiber sensing network, cable force automation test system and comprehensive informat[r] ... See full document

... Based on the analysis above, we can conclude that it is necessary to determine the angular velocity, the angular acceleration, the equivalent moment of inertia and the equivalent force o[r] ... See full document

... The static performance indexes of the control valve mainly include intrinsic error, repeatability error, reproducibility error, rated travel deviation, dead band, start error, stop error[r] ... See full document