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.
Short-term load forecast plays a vital role in the electric power industry. In this paper, a deep belief network is proposed for short-term load forecasting. However, the Back-Propagation (BP) algorithm of deep belief network for fine tuning has some inherent drawbacks and limitations, such as slow convergence rate and easy to fall into local minimum. To overcome the drawbacks, several neural network...
Text classification is one of the most significant contents in Natural Language Processing research field. In most real cases, text classification is usually a multi-label learning task. Currently, there are three mainstream attribute measures (i.e., information gain, document frequency and chi-square test values) which are often used to describe documents. The three attribute measures have been applied...
In this paper, we optimize the boosted results of AdaBoost algorithm by particle swarm optimization (PSO) and form a learning algorithm PSO-AB. We use it to boost the classification ability of support vector machine (SVM) and back propagation neural network (BPNN). This PSO-AB adopts SVM and BPNN to classify the experimental data, uses AdaBoost algorithm to boost the classification results, and then...
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.