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个人陈述范文实例二七(申请电机工程学博士)

PERSONAL STATEMENT

One of the finest quarterbacks in Pro football history, Roger Staubach, said, “confidence doesn’t come out of nowhere. It is a result of hours and days and weeks and years of constant work and dedication.” Having focused on the studies of Intelligent Systems since I entered the Masters program at the Institute of Automation at the CCC, I have conducted extensive research in the field of intelligent systems, including fuzzy systems, neural networks and their applications and have published several academic papers in acclaimed domestic and international journals. I have come to recognize that it is the combination of my strong interest in intelligent systems and my solid mathematics and computer background that has taken me so far. I have full confidence that I am well prepared to go further and pursue my childhood dream —obtain a Ph.D. Degree in Electrical Engineering, eventually becoming a knowledgeable professor.  

After winning the First Prize in the highly competitive National High School Students’Mathematics Competition in 1996, I was offered, without being required to take the entrance exam, entry to the best Mathematics program in China, the School of Mathematical Sciences in XXX University.    During the four years that I studied at XXX University, I worked very hard and maintained a position in the top 5 students in the Department. During my junior year, driven by my long-time interest in Artificial Intelligence, I took an Artificial Intelligent course offered in graduate school and was ranked No.1 in the class, despite being the only undergraduate student. I was completely fascinated by what was covered in this class and was so encouraged by this experience that I decided to study Artificial Intelligence in graduate school.  

Since entering the Institute of Automation in the CCC as a Master’s Degree candidate, I have been working as a Research Assistant in the Center of Intelligent Control and System Engineering. Based on my research experience in the neuro-fuzzy based Traffic Flow Predication systems, I published and presented a paper titled “A Neuro-Fuzzy System Approach for Forecasting  Short-Term Freeway Traffic Flows” at the IEEE 5th International Conference on Intelligent Transportation Systems held in Singapore in September, 2002. My proposal on a new type of Neuro-Fuzzy system and its learning algorithm and modeling algorithm led to two more papers: “A New Neuro-Fuzzy System And Its Learning Algorithm” submitted to the International Conference on Fuzzy Information Processing Theories and Applications (FIP) held in Beijing, March, 2003 and “Mamdani Type Fuzzy Inference System Modeling Based on RBF Neural Networks” submitted to China’s authoritative journal Pattern Recognition and Artificial. Attending the  CASIA Annual Conference on Automation and Information Technology held in Beijing 2002, I presented two papers: “A New Quick Learning Algorithm for RBF Networks” and “Signal Control Under Hybrid Traffic Flow of an Isolated Intersection”. My latest research paper “Study on the Signal Timing of Hybrid Traffic Flow” has been submitted to the Pattern Recognition and Intelligent System and is expected to be published in June 2003. 

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