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.
Adaptive resonance theory (ART) architectures are important neural networks for unsupervised clustering. ART 2-A is one version of the ART family capable of clustering both binary and numeric data. However, real-world problems usually contain categorical data that cannot be processed by ART 2-A. A simple solution is using binary encoding to preprocess categorical data. Binary encoding is a simple...
In this paper, we propose and investigate a modelof fuzzy stochastic complex networks described by Takagi-Sugeno (T-S) fuzzy model with discrete and distributed time delays. By utilizing a new Lyapunov functional form, we employ the stochastic analysis techniques and Kronecker product to develop delay-dependent synchronization criteria that ensure the mean-square synchronization of the addressed T-S...
Sequential information processing, for instance the sequence memory, plays an important role on many functions of brain. In the workings of the brain, the steady-state period is alterable. But in the existing sequence memory models using hetero-associations, the steady-state period is changeless in the sequence recall. In this paper, multi-sequence memory with controllable steady-state period is proposed...
Neural networks approach is an advanced methodology used for intrusion detection. As a type of neural network, Self-organizing Maps (SOM) is getting more attention in the field of intrusion detection. In this paper, some improvements on SOM algorithm are made in order to increase detection rate and improve the stability of intrusion detection, include: (1) Modify the strategy of ldquowinner-take-allrdquo...
This paper proposed a new hybrid model in order to increase time series prediction accuracy. This hybrid model considers the routine time prediction technique like AR, ANN or any others as atomic building block. A linear hybrid technique is used to combine their forecast result into the final result. The hybrid algorithm was tested against three different kinds of time series data. Experiments results...
Path-oriented testing is an important aspect of software testing. A challenging problem with path-oriented test data generation is the existence of infeasible paths. Timely detecting these infeasible paths can not only save test sources but also improve test efficiency. It is an effective method to detect infeasible paths by branch correlations. In this paper, we propose a method to automatically...
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.