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Chan-Uk Yeom and Keun-Chang Kwak
We propose an adaptive neuro-fuzzy inference system (ANFIS) with an incremental tree structure based on a context-based fuzzy C-means (CFCM) clustering process. ANFIS is a combination of a neural network with the ability to learn, adapt and compute, and ...
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Mai Zhang, Andres Castillo and Borja Peleato
One of the key challenges for future communication systems is to deal with fast changing channels due to the mobility of users. Having a robust protocol capable of handling transmission failures in unfavorable channel conditions is crucial, but the feedb...
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Jian Zhang, Yaozong Pan, Ruili Wang, Yuqiang Fang and Haitao Yang
Decentralized partially observable Markov decision processes (Dec-POMDPs) are general multi-agent models for planning under uncertainty, but are intractable to solve. Doubly exponential growth of the search space as the horizon increases makes a brute-fo...
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Ángel Aparicio
Pág. 3529 - 3537
This research describes the current state of adaptation in the transport sector in Europe and explores their potential, lessons learnt and limits. The objective is to establish a typology of current approaches and assess their impact in terms of both, sh...
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Fatin F. Mahmoud, Ahmed G. El-Shafei, and Mohamed A. Attia
Pág. 305 - 313
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