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.
Multi-objective optimization yields indispensable information about the best possible design trade-offs of an antenna structure, yet it is challenging if full-wave electromagnetic (EM) analysis is utilized for performance evaluation. The latter is a necessity for majority of contemporary antennas as it is the only way of achieving acceptable modeling accuracy. In this paper, a procedure for accelerated...
With the rapid growth of the number of micro-blog, a lot of useless information flooded in the users vision, the users find it difficult to choose micro-blog recommendation service according to personal interest, so micro-blog filtering technology is applied to the micro-blog service. The interests of users change with the time, so the traditional batch learning can not be able to satisfy the need...
In this paper, a new ensemble forecasting model for short-term load forecasting (STLF) is proposed based on extreme learning machine (ELM). Four important improvements are used to support the ELM for increased forecasting performance. First, a novel wavelet-based ensemble scheme is carried out to generate the individual ELM-based forecasters. Second, a hybrid learning algorithm blending ELM and the...
Gabor wavelets (also known as Gabor filters) and Singular Value Decomposition (SVD) have been exploited extensively in the area of face recognition. In this paper, a face recognition system is developed combining features extracted using both Gabor wavelets and SVD. For Gabor wavelets, the extracted feature vectors are selected from only 12 out of 40 Gabor wavelets. The outputs from the 12 filters...
Aiming at the disadvantages of prediction model of single BP neural network, a prediction model was presented by combining AdaBoost algorithm and BP neural network for improving the forecasting accuracy of single BP neural network. The ensemble BP network based on AdaBoost is used as intelligent algorithm. Overcoming the instability of single BP neural network, the proposed models can give more accurate...
In order to improve the prediction accuracy of BP neural network model for chaotic time series, a new prediction method for chaotic time series of optimized BP neural network based on particle swarm optimization (PSO) was presented. The PSO was used to optimize the initial weights and thresholds of BP neural network, and then the BP neural network was trained to search for the optimal solution. The...
The professional postgraduates training is a key section in high education system. The improvement of education quality is one of the key indexes for the evaluation of the comprehensive competitive capability of higher education. The vital aspect to keep quality of professional postgraduates training is to enhance the research and management of training model and training process. Based on the software...
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.