کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
496685 862866 2011 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive fuzzy wavelet neural network filter for hand tremor canceling in microsurgery
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Adaptive fuzzy wavelet neural network filter for hand tremor canceling in microsurgery
چکیده انگلیسی
One of the main problems for effective control of a minimally invasive surgery (MIS) is the imprecision that caused by hand tremor. In this paper, a new kind of nonlinear adaptive filter, the fuzzy wavelet neural network filter (FWNNF), is proposed to alleviate this problem. The proposed FWNNF is inherently a feed forward multilayered connectionist network which can learn by itself according to numerical training data or expert knowledge represented by fuzzy if-then rules. Each rule includes a wavelet function in the consequent part of the rule. In the parameter learning phase, gradient descent method is used to minimize the output error. With the FWNNF, we can model and predict the hand tremor more effectively and improve the precision and reliability in the master-slave robotic system for microsurgery. Extensive simulation results are given and performance comparison with traditional methods is conducted, underlining the effectiveness of the proposed filter and its superior performance over its competing rivals.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Soft Computing - Volume 11, Issue 8, December 2011, Pages 5315-5329
نویسندگان
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