Abstract— Over the years, many improvements and refinements of the backpropagation learning algorithm have been reported. In this paper, a new adaptive penalty-based learning ex...
Because of the heterogeneity in radio transceiver capabilities and influence of surroundings, unidirectional links arise in wireless mobile ad-hoc networks. Since most of existin...
Taro Maekawa, Harumasa Tada, Naoki Wakamiya, Makot...
Data dissemination is a fundamental task in wireless sensor networks. Because of the radios range limitation and energy consumption constraints, sensor data is commonly disseminate...
Eduardo Freire Nakamura, Carlos Mauricio S. Figuei...
Communication through relay channels in wireless sensor networks can create diversity and consequently improve robustness of data transmission for ubiquitous computing and network...
Artificial neural networks (ANN) have been widely used for both classification and prediction. This paper is focused on the prediction problem in which an unknown function is appr...