This paper compares the performance of two provably successful evolutionary optimization tools in the optimization of a Fuzzy-Rule-Base (FRB) for the three well known fuzzy modeli...
In this paper we present a simple yet accurate model to forecast electricity load with Artificial Neural Networks (ANNs). We analyze the problem domain and choose the most adequat...
This paper describes the research and development of a methodology to identify the type of information required by the service advisor (CSA) within customer contact centre (CCC) e...
S. Shah, Rajkumar Roy, Ashutosh Tiwari, Basim Maje...
This paper describes the system “Fibered Guard”, which is a hybrid intelligent web access management approach for the prevention of Denial of Service (DoS) and Distributed Deni...
Owing to the increase in both heterogeneity and complexity in today’s networking systems, the need arises for an architecture for network-based services that provides flexibilit...
Christos Chrysoulas, Evangelos Haleplidis, Robert ...
We present some proposals to approximately solve a period vehicle routing problem used to model the extraction of oil from a set of onshore oil wells in Brazil. This problem diffe...
Luciana B. Goncalves, Luiz Satoru Ochi, Simone L. ...
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
This paper presents a recurrent fuzzy-neural filter for adaptive noise cancellation. The cancellation task is transformed to a system-identification problem, which is tackled by u...
Paris A. Mastorocostas, Dimitris N. Varsamis, Cons...