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.
The radial basis function (RBF) is well known dynamic recursion neural network. However, RBF weights and thresholds, which are trained by back propagation algorithm, the gradient descent method and genetic algorithm, will be fixed after the training completing. The adaptive ability is bad. To improve RBF identification performance, particle swarm optimization (PSO), which is a stochastic search algorithm,...
Artificial neural network (ANN) has outstanding characteristics in machine learning, fault, tolerant, parallel reasoning and processing nonlinear problem abilities. But BP training algorithm is based on the error gradient descent mechanism that the weight inevitably fall into the local minimum points. In this paper, a hybrid genetic algorithms(HGA) was proposed to solve the problem. The proposed HGA...
Neural network learning methods provide a robust approach to approximating real-valued, discrete-valued and vector-valued target functions. Artificial neural networks are among the most effective learning methods currently known for certain types of problems. But BP training algorithm is based on the error gradient descent mechanism that the weight inevitably fall into the local minimum points. genetic...
The chaotic time series forecast was researched by using wavelet neural networks (WNN) in this paper. An improved training method for WNN was presented. The method combines the genetic algorithm (GA) with gradient descent BP algorithm; the BP method was embedded in the GA operation in order to resolve the GA's limitation in detail search capability. In the last step of the method the WNN searches...
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.