I Am Chinese !

这篇演讲稿通过丰富的修辞手法展现了演讲者的民族自豪感。演讲者强调了中国悠久的历史、丰富的资源和人民的智慧与勤奋,表达了对中国未来发展的信心。

这篇英文演讲稿很好地使用了演讲的修辞手段:比喻、排比、设问等,加强了文章的气势,词语运用自如,精彩的句子比比皆是,例如:Our problems are big, but our ambition is even bigger, our challenges are great, but our will is even greater,等等。

Ladies and gentlemen, boys and girls,

I am Chinese. I am proud of being a Chinese with five thousand years of civilization behind. I've learned about the four great inventions made by our forefathers. I've learned about the Great Wall and the Yangtze River. I've learned about Zhang Heng(张衡)and I've learned about Zheng He(郑和).Who says the Yellow River Civilization has vanished(消失)?I know that my ancestors have made miracles(奇迹)on this fertile land and we're still making miracles. Who can ignore the fact that we have established ourselves as a great state in the world, that we have devised our own nuclear weapons, that we have successfully sent our satellites into space, and that our GNP ranks No. 7 in the world? We have experienced the plunders (掠夺) by other nations, and we have experienced the war. Yet, based on such ruins, there still stands our nation----China, unyielding and unconquerable!

I once came across an American tourist. She said, “China has a history of five thousand years, but the US only has a history of 200 years. Five thousand years ago, China took the lead in the world, and now it is the US that is leading.”My heart was deeply touched by these words. It is true that we're still a developing nation, but it doesn't mean that we can despise (鄙视) ourselves. We have such a long-standing history, we have such abundant resources, we have such intelligent and diligent people, and we have enough to be proud of. We have reasons to say proudly: we are sure to take the lead in the world in the future again, for our problems are big, but our ambition (雄心) is even bigger, our challenges (挑战) are great, but our will is even greater.

I am Chinese. I have inherited (继承) black hair and black eyes. I have inherited the virtues of my ancestors. I have also taken over responsibility. I am sure, that wherever I go, whatever I do, I shall never forget that I am Chinese!

Thank you.

内容概要:本文提出了一种基于融合鱼鹰算法和柯西变异的改进麻雀优化算法(OCSSA),用于优化变分模态分解(VMD)的参数,进而结合卷积神经网络(CNN)与双向长短期记忆网络(BiLSTM)构建OCSSA-VMD-CNN-BILSTM模型,实现对轴承故障的高【轴承故障诊断】基于融合鱼鹰和柯西变异的麻雀优化算法OCSSA-VMD-CNN-BILSTM轴承诊断研究【西储大学数据】(Matlab代码实现)精度诊断。研究采用西储大学公开的轴承故障数据集进行实验验证,通过优化VMD的模态数和惩罚因子,有效提升了信号分解的准确性与稳定性,随后利用CNN提取故障特征,BiLSTM捕捉时间序列的深层依赖关系,最终实现故障类型的智能识别。该方法在提升故障诊断精度与鲁棒性方面表现出优越性能。; 适合人群:具备一定信号处理、机器学习基础,从事机械故障诊断、智能运维、工业大数据分析等相关领域的研究生、科研人员及工程技术人员。; 使用场景及目标:①解决传统VMD参数依赖人工经验选取的问题,实现参数自适应优化;②提升复杂工况下滚动轴承早期故障的识别准确率;③为智能制造与预测性维护提供可靠的技术支持。; 阅读建议:建议读者结合Matlab代码实现过程,深入理解OCSSA优化机制、VMD信号分解流程以及CNN-BiLSTM网络架构的设计逻辑,重点关注参数优化与故障分类的联动关系,并可通过更换数据集进一步验证模型泛化能力。
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