结合高校毕业设计选题的实际需要，利用物元理论，建立了基于毕业设计选题评价的关联函数和可拓评判的数学模型。

Associating with real necessity of topic selection in graduation design, evaluation correlation function and topological mathematical model are established by matter element theory.

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提出了一种隐马尔可夫模型（HMM）和径向基函数神经网络（RBF）相结合的语音识别新方法。

Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.

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