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Abstract: In laser machining on complex curved surface, interpolation
sets of sampling coordinate measured points are used to construct the
curved surface function, by which arbitrary coordinate of curved surface
can be determined. BP algorithm about artificial neural network may be
employed to carry out interpolation, but it is hard to reach machining
precision due to low calculating precision leading to high orientation
error. A novel interpolation method, based on conjugate gradient
optimization algorithm about artificial neural network, is proposed and
introduced, and feasibility of the method is verified via orientation
simulation of the curved surface. The new algorithm will be used to
provide a solution of the accurate three-dimensional orientation for
laser machining.
Key words: Conjugate gradient optimization algorithm Curved
surface simulation Neural network Function approximation
CLC No: TP206
中国科学院创新工程重大项目(KGCX1-11)、辽宁省博士起动基金(2001102017)资助项目.
Received 20010814, received in revised form 20020325
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