• This will make it easier for other vessels, including pre-positioning ships, to load the MLP at sea using cranes and Bridges.

    这种船体结构使得其它船舶,包括预置船,能够轻松的从海面用吊车和开合桥向MLP装载。

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  • A general partner commonly owns a 2% stake in an MLP it manages.

    一个普通合伙人通常在其管理的MLP企业里有2%的股权。

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  • This initializing method can also be used as fast training algorithm for H-MLP network.

    该初始化方法同时可作为H-MLP网络的一种快速训练算法。

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  • A novel algebraic training algorithm for a three-layered MLP is proposed in this paper.

    本文针对三层前馈网络提出一种全新的学习算法。

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  • The quintessential example of a deep learning model is the feedforward deepnetwork or multilayer perceptron (MLP).

    深度学习模型的一个典型例子是前馈深度网络,或者说多层感知器(MLP)。

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  • The experimental results show that the recognition rate can be improved a lot comparing to the common MLP neural network.

    实验证明该网络的识别率较多层感知(MLP)人工神经网络有了明显提高。

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  • IDRs entitle the GP to receive increasing percentages of the incremental as the MLP raises distributions to limited partners.

    激励分配权利让普通合伙人在MLP企业增加对有限合伙人的分红时也获得相应增加的增量收益。

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  • Taking a MLP with a single hidden layer for an example, a semi-linear analysis theory of internal behavior of MLPs is presented.

    作者以单隐层的MLP为例,论述了关于MLP的内部行为的半线性分析理论。

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  • In order to optimize the design of MLP network structure for fault classification, an optimum approach based on fuzzy logic is presented.

    为了优化用于故障分类的多层前馈网络结构配置,提出了一种基于模糊逻辑的优化方法。

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  • The pressure for an MLP to maintain a stable and growing DCF is much more intense than that of a normal company to maintain steady earnings.

    MLP企业保持分红现金流平稳增长的压力比普通企业维持稳定利润的压力要大得多。

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  • Of great interest, popular multilayer perceptron (MLP), radial basis function (RBF) and polynomial neural networks are the focus of the paper.

    其中,对于多层感知器网络、径向基函数网络、多项式网络尤其关注。

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  • A second element of this form of seabasing is the "mobile landing platform" (MLP), a ship longer than two football pitches, with a large, flat platform.

    构成这种海上基地的第二个要素是“移动式登陆平台”(MLP)。这是一种长度超过两个足球场,有着宽阔表面甲板的船舶。

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  • An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.

    提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。

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  • The modified Lindstedt-Poincaé method(MLP) is used t analyze strongly nonlinear vibration of beams. Attention is focused on the superhamonic and subharmonic resonances.

    本文采用改进的L -P法研究梁的强非线性振动,分析了超谐波共振和次谐波共振两种情况。

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  • The main purpose of this model is to improve the recognition rate of CDHMM by means of the strong performance of MLP to classify the likelihood values withdrawn from CDHMM.

    其主要目的是通过MLP分类器,对CDHMM中的似然估计值进行分析、分类,以加强和提高CDHMM的分类能力。

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  • The simulation results show the presented quick training algorithm can speed up the learning process of MLP, and improve the learning properties on convergence and robust performance.

    仿真结果表明,改进的BP算法可显著加速网络训练速度,学习过程具有较好的收敛性和较强的鲁棒性。

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  • The Solutions of a kind of strongly nonlinear system with quadratic and cubic nonlinearities are derived by means of the MLP method, and its second order approximate solutions are obtained.

    用MLP方法求解一类同时具有二次和三次项的强非线性系统的自由振动问题,得到其二级近似解。

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  • The Solutions of a kind of strongly nonlinear system with quadratic and cubic nonlinearities are derived by means of the MLP method, and its second order approximate solutions are obtained.

    用MLP方法求解一类同时具有二次和三次项的强非线性系统的自由振动问题,得到其二级近似解。

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