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.
Accurately grasp the dynamics of soil moisture enable one to react accordingly to the crop water demand to a certain extent, hence forecasting soil moisture is very important in scheduling of irrigation and allocating water in irrigation area rationally and efficiently. Soil moisture is affected not only by previous time sequence of soil moisture, but also by weather factors. In this paper, a novel...
Wind farm modeling is an important research topic, but the traditional mechanism modeling method is difficult to get accurate models. However, performance of the neural network model is superior for identification and approximation of complex nonlinear systems. Especially, the BP network has been widely and successfully used in the engineering field. This paper gives a brief introduction to the BP...
Neural network ensemble is a recently developed technology, which trains a few of neural networks and then combines their prediction results. The generalization ability of an ensemble can be much better than that of a single learner. However, it is time-consuming to train so many neural networks. In order to overcome this disadvantage, MPI (Message Passing Interface) technique was employed to the...
Neural networks ensemble is a promising tool in the field of structure-activity relationship (SAR). Based on support vector machine (SVM), a new method called RRSE (rough reducts based SVM ensemble) is employed to discriminate between high and low activities of ethofenprox analogous based on the molecular descriptors. By using RRSE, individual SVMs of ensemble model are constructed by projection of...
Statistical learning theory is for small-sample statistics. And support vector machine is a new machine learning method based on the statistical learning theory. The support vector machine not only has solved certain problems in many learning methods, such as small sample, over fitting, high dimension and local minimum, but also has a higher generalization (forecasting) ability than that of artificial...
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.