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FPGA processor and visual keyword matching to optimize feature recognition of tourism resources

机译：FPGA处理器和可视化关键字匹配，以优化旅游资源的特征识别

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摘要

Confirm information from the web page is a critical issue to support tourism activities. These steps are based on how the analysis and synthesis of a web page article grammatical structure. Semantic structure is a single sentence or a fragment of the marked text. This is a characteristic of developing useful tourist information from a web page to identify the way. Identification, development, and utilization of tourism resources have proved inseparable from the earth sciences. In this case, the literature does not explain Earth's tourism resources' characteristics from a scientific point of almost complete. Still, it is only mentioned in the discussion of the operation of tourism resources and tourism. Machine learning algorithms are used in the proposed architecture, which resembles a field-programmable gate array to achieve. FPGA implementation of a fixed point, comparing classification performance.
机译：从网页确认信息是支持旅游活动的重要问题。这些步骤基于如何分析和综合网页文章语法结构。语义结构是单句或标记文本的片段。这是从网页开发有用的旅游信息来识别方式的特征。旅游资源的识别，发展和利用证明是从地球科学中不可分割的。在这种情况下，文献并未解释地球的旅游资源从几乎完整的科学点的特征。尽管如此，它仍然在讨论旅游资源和旅游业的讨论中提到。机器学习算法用于所提出的架构，其类似于实现现场可编程门阵列。 FPGA实现了一个定点，比较分类性能。

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