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Algorithm Improvement Using ANN Technology to Express Hull Lines

BAO Cong xi, TAN Jia hua School of Naval Architecture & Ocean Eng., Shanghai Jiaotong Univ., Shanghai 200030, China  
Applying technology of artificial neural networks (ANN) to express hull lines, aiming at the approximation problem of a continuous function of n variables, factors affecting the effect of BP algorithm were analyzed and a new improving method was practiced. The newly obtained method adopts the algorithm of optimizing hidden layer output (OHLO) in which the optimization method is Fletcher Reeves conjugation gradient method and the adjustment method of the learning rate is one dimensional searching method. The result shows that it can speed the convergence of the learning in a measure. In this paper, a 36 000 t bulk carrier was taken as an example to express the hull lines using this newly obtained method. The conclusion shows that using the ANN method to express the hull lines is viable and effective.
【CateGory Index】: U662.2
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