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有关自我介绍的英语演讲稿

英语演讲稿自我介绍范文。

成功的关键往往只有几步,其他时候都是默默积淀的过程。根据自己在演讲之前立下的目标,与其发愁不如实实在在的写一份演讲稿。演讲稿能够在较大程度上确保演讲的质量,你想知道写好演讲稿的关键是什么吗?你可以读一下小编整理的英语演讲稿自我介绍范文,更多相关内容请继续关注本网站。

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英语演讲稿自我介绍范文

General Introduction
I am a third year master major in automation at Shanghai Jiao Tong University, p. R. China. ore, I joined the Association of AI Enthusiast and began to narrorospect, I find myself standing on a solid basis in both theory and experience, work Scheduling problem, Heuristic Algorithm research (especially in GA and Neural network), Supply chain network research, Hybrid system performance analysis with petri nets and Data Mining.

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自我介绍英语演讲稿


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英语演讲稿:自我介绍


General Introduction

I am a third year master major in automation at Shanghai Jiao Tong University, p. R. China. ore, I joined the Association of AI Enthusiast and began to narrorospect, I find myself standing on a solid basis in both theory and experience, work Scheduling problem, Heuristic Algorithm research (especially in GA and Neural network), Supply chain network research, Hybrid system performance analysis with petri nets and Data Mining.

自我介绍的英语演讲稿范文


以下是小编为大家整理搜索的一篇自我介绍的英语演讲稿范文,供大家学习参考。

自我介绍的英语演讲稿范文

general introduction
i am a third year master major in automation at shanghai jiao tong university, p. r. china. ore, i joined the association of ai enthusiast and began to narromercial product.
in retrospect, i find myself standing on a solid basis in both theory and experience, work scheduling problem, heuristic algorithm research (especially in ga and neural network), supply chain network research, hybrid system performance analysis with petri nets and data mining.

优秀自我介绍英语演讲稿


General Introduction
I am a third year master major in automation at Shanghai Jiao Tong University, p. R. China. ore, I joined the Association of AI Enthusiast and began to narrorospect, I find myself standing on a solid basis in both theory and experience, work Scheduling problem, Heuristic Algorithm research (especially in GA and Neural network), Supply chain network research, Hybrid system performance analysis with petri nets and Data Mining.

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