• We're doing it' already, Small said, "using theWorld Wide Web as an external hard drive to augment our biological memory stores."

    斯莫尔说,“利用互联网作为外部驱动来增加我们的生物记忆体存储。”

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  • An analytical math model was established basing on three form and decline of biological memory and was used in intrusion detection system.

    以生物记忆的三种形式的形成与衰减为基础建立一种数学分析模型,并将此应用到入侵检测中去。

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  • Meanwhile, blood samples taken throughout the experiment offered a biological explanation for the boost in memory among the exercisers.

    与此同时,在实验过程中做的血测则为被试记忆力的提高提供了生物学上的解释。

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  • Biological Immune is a highly complexity and self-adaptive system with capability of learning, memory acquisition, pattern recognition and so on.

    生物免疫是一个高度复杂的自适应系统,具有学习、记忆和模式识别的能力。

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  • The applications of shape memory alloys to industry, energy source machine and biological and medical engineering, etc. are illustrated as well.

    举例说明记忆合金在工业、能源和生物医疗工程等方面的应用。

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  • As a result, they could potentially underpin a new generation of high density, non-volatile memory chips and logic circuits that mimic biological synapses.

    因此,它们具有打造下一代高密度、非易失存储芯片和模仿生物神经节的逻辑电路的潜力。

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  • As one of the cerebral senior function, learning memory had quite complex biological mechanisms.

    学习记忆作为大脑的高级神经活动功能之一,有着十分复杂的生物学机制。

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  • Learning and memory are different but nearly related neural activities, which are important functions in brain. Learning and memory have complicated biological mechanism.

    学习和记忆是不同而又密切联系的神经生物学活动,是大脑的重要功能之一,有着十分复杂的生物学机制。

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  • Being the underlying structure of cognition, memory is a psychobiological interface: universal in its biological perspective, but individualistic in its psychological perspective.

    记忆是认知的底层结构,是心理和生物的界面。

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  • As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.

    作为仿生神经元数学模型,随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。

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  • As a biological neural mathematical model, RNN has particular advantages of associative memory, image processing and combinatorial optimization.

    作为仿生神经元数学模型,随机神经网络在联想记忆、图像处理、组合优化问题上都显示出较强的优势。

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