ID 原文 译文
46156 而且不需要切割、染色等烦琐耗时的处理，就能观察到传统方法难以获取的深度结构。该技术可以应用于癌症的早期诊断和手术中的快速诊断。 As the in-depth structure could be imaged without the process needed for frozen and paraffin sectioning methods, the technology could been highly valuable for early cancer diagnosis and pathological analysis in tumor research.
46157 为了提高情感识别的分类准确率，提出一种将栈式自编码神经网络（SAE）和长短周期记忆单元循环神经网络（LSTM RNN）融合的多模态融合特征情感识别方法。 In order to achieve more accurate emotion recognition accuracy from multi-modal bio-signal features, a novel method to extract and fuse the signal with the stacked auto-encoder and LSTM recurrent neural networks was proposed.
46158 该方法通过 SAE 对不同模态的生理特征进行信息融合和压缩， The stacked auto-encoder neural network was used to compress and fuse the features.
46159 随后用 LSTM RNN 对长时间周期的融合进行情感分类识别。 The deep LSTM recurrent neural network was employed to classify the emotion states.
46160 通过将该方法用到开源数据集中进行验证，得到情感分类准确率达到 0.792 6。 The results present that the fused multi-modal features provide more useful information than single-modal features. The deep LSTM recurrent neural network achieves more accurate emotion classification results than other method. The highest accuracy rate is 0.7926.
46161 现有基于规则匹配的数据流预测算法存在前件发生定义不准确、前件相关性未考虑、预测结果描述不严谨等不足， There are some shortages in the existing rule-based data stream prediction algorithm, such as inaccurate definition of antecedent occurrence, ignoring the correlation between rules and imprecise description of prediction accuracy.
46162 造成预测过程效率较低、精度不高等问题。 These make low forecasting process efficiency and low prediction accuracy.
46163 提出基于前件发生树的概率叠加预测算法，定义区间最小非重叠发生，避免前件的错误匹配； The superposed prediction algorithm was proposed based on antecedent occurrence tree, and interval minimal non-overlapping occurrence was defined to avoid the problem of excessive matching antecedent.
46164 通过前件的合并构建前件发生树，提高前件发生的搜索效率；基于概率叠加的思想计算后件的发生区间和发生概率，使预测精度进一步提高。 The efficiency was improved for searching antecedent’s occurrence by merging rule’s antecedents in antecedent occurrence tree, and the succedent occurrence based on superposed probability was predicted to enhance prediction accuracy.
46165 理论分析和实验结果表明，该算法具有较高的时空效率和预测精度。 The theoretical analysis and experimental evaluation demonstrate the algorithm is superior to the existing prediction algorithms in terms of time and space efficiency and prediction accuracy.