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.
This paper discusses the elimination of C.I. Acid Yellow 23 (AY23) using UV/Ag-TiO2 process. To anticipate the photocatalytic elimination of AY23 with the existence of Ag-TiO2 nanoparticles processed under desired circumstances, two computational techniques namely neural network (NN) and particle swarm optimization (PSO) modeling are developed. A summed up of 100 data are used to establish the models,...
To solve the problem of the neural network architecture design, a dynamic feedforward neural network architecture design method based on information entropy is proposed. In this method, the neural network's cost function is composed of the cross entropy of the neural network's expected output and actual output and Renyi's entropy of the hidden node's output. This does not require the learning samples...
This paper uses back propagation (BP) neural network to modify manual observing system data to automatic observing system data in wind speed data. First, we prepare six factors which are wind speed data six hours ahead to one hour ahead as input data. The tests indict when these factors selected, the modify results are better than others. The training data used for the neural network is the data from...
This brief is concerned with the global robust exponential stability of a class of interval Cohen-Grossberg neural networks with both multiple time-varying delays and continuously distributed delays. Some new sufficient robust stability conditions are established in the form of state transmission matrix, which are different from the existing ones. Furthermore, a sufficient condition is also established...
This paper presents a method for neural network ensemble. In the method, five subsystems of classifier used four kinds of neural networks, such as SOM,PNN,LVQ,RBF. Those neural networks compute parallel which have been trained solely The recognition result of subsystems, the expectation and variance between input pattern and goal pattern have been integrated by analytical hierarchy process. In experiments,...
This paper establishes the model of remote fault detect system, using typical fault data of a type of planepsilas undercarriage braking system to implement the diagnosis. The result shows that he Ensemble Method of Remote Fault Diagnosis based on PCA and ICA and Multi-layer SOM, integrates the advantage of PCA in low noise and ICA in high noise. Multilayer SOM can classify the input data rapidly with...
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.