Titlebook: AI 2016: Advances in Artificial Intelligence; 29th Australasian Jo Byeong Ho Kang,Quan Bai Conference proceedings 2016 Springer Internation

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https://doi.org/10.1007/978-1-4614-1888-7rements. Due to the complexity, unpredictability, dynamic natures and potential resource contention problems among these events, traditional resource allocation approaches may have difficulties to efficiently and effectively deploy resources to these emergency events concurrently, which may result i

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Controlling a VLBI System Remotely,stralian wheat-belt are currently based on output from the Bureau of Meteorology’s general circulation model, the Predictive Ocean Atmosphere Model for Australia (POAMA). These forecasts are provided in a two-category format (above or below median rainfall) up to three months in advance for large gr

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Applied Computer Sciences in Engineeringysical ocean-atmospheric coupled general circulation models (GCMs). Despite increasing sophistication of these models and the computational power of the computers that drive them, their predictive skill remains comparable with relatively simple statistical models. In this study, an artificial neural

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Andrés E. Jaramillo,Rafael M. Gutierrezants. Machine learning is a natural choice to cope with this increase, because it addresses the need of discovering underlying patterns in large-scale datasets. Nowadays, neural network methodology has been grown to the state that can surpass limitations of previous machine learning methods, such as

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