With the rapid development of on-line information services, information technologies for on-line information processing have been receiving much attention recently. Clustering plays important roles in various on-line applications such as extraction of useful information from news feeding services and selection of relevant documents from the incoming scientific articles in digital libraries. In ...

In the paradigm of Knowledge-Based Systems (KBS), design methods to simplify reasoning leads more efficient processes. A point view that provides valuable insights is algebraic one. this work, a notion basis (and dimension) for Knowledge Bases in Propositional Logic associated with knowledge forgetting introduced. It based on ideas come from translation such logic (Computer) Algebra, particular...

Nowadays, using advanced vehicle control and safety systems in vehicles is growing rapidly. In this regard, in recent years new control systems, called VDC, have been introduced. These systems stabilize vehicle yaw motion, by yaw moment resulted from tire controlling forces. In this paper, an adaptive optimal controller applied to a vehicle to obtain a satisfactory lateral and yaw stability. To...

this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

For SOC (state of charge) assessment techniques based on electrical circuit models, the parameters model are strongly biased by: battery aging, temperature, causing some errors in estimation SOC. One approach to solve this problem is update constantly. We suggest a new algorithm VRLS (variable recursive least squares) 2-resistor-capacitor (RC) network and estimate output voltage. compared squar...