文件名称:NeuralNetworkControl06
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As the years of intensive research and development went by, and with the birth of
several new conferences and workshops such as IWFHR (International Workshop
on Frontiers in Handwriting Recognition),1 ICDAR (International Conference on
Document Analysis and Recognition),2 and others [8], recognition techniques
advanced rapidly. Moreover, computers became much more powerful than before.
People could write theway they normally did, and characters need not have to be written
like specified models, and the subject of unconstrained handwriting recognition
gained considerable momentum and grew quickly. As of now, many new algorithms
and techniques in preprocessing, feature extraction, and powerful classification methods
have been developed [8, 9]. Further details can be found in the following chapters
several new conferences and workshops such as IWFHR (International Workshop
on Frontiers in Handwriting Recognition),1 ICDAR (International Conference on
Document Analysis and Recognition),2 and others [8], recognition techniques
advanced rapidly. Moreover, computers became much more powerful than before.
People could write theway they normally did, and characters need not have to be written
like specified models, and the subject of unconstrained handwriting recognition
gained considerable momentum and grew quickly. As of now, many new algorithms
and techniques in preprocessing, feature extraction, and powerful classification methods
have been developed [8, 9]. Further details can be found in the following chapters
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Neural Network Control of Nonlinear Discrete-time Systems-2006.pdf