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Most question answering systems feature a step to predict an expected answer type given a question. Li and Roth \cite{li2002learning} proposed an oft-cited taxonomy to the categorize the answer types as well as an annotated data set. While offering a framework compatible with supervised learning, this method builds on a fixed and rigid model that has to be(More)
In order to obtain benefits of Homogenous Charge Compression Ignition (HCCI) engine, the most significant challenge is to control the combustion timing. Therefore, this study develops a black-box model based on BP neural network to estimate the combustion timing, where speed of engine, fuel equivalence ratio, temperature and pressure of gas at intake(More)
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