计算机工程与应用2011，Vol.47Issue(25)：205-207,211,4.DOI:10.3778/j.issn.1002-8331.2011.25.054
类支集神经网络在ECT图像重建中的研究与应用
Image reconstruction algorithm based on NSSN for Electrical Capacitance Tomography
摘要
Abstract
Aiming at improvement of image reconstruction algorithm in 12-Electrical Capacitance Tomography system,this paper conducts an experimental study on closed containers gas/solid two phase flow,which mainly depend on the stability and the speed of image reconstruction algorithm.To keep the stability of solving process and the computational performance, the image reconstruction algorithm based on a new set of neural network types supported algorithm (NSSN) is first applied to the ECT image reconstruction system.Large-scale training of neural network algorithm puts forward a slow sub-division of the network enhancement.The system uses 12-electrode capacitance tomography system for gas-solid flow tube closure data detection, the use of the improved neural network algorithm for image reconstruction.The obtained experimental results fully show that the image reconstruction method has high precision imaging,computing speed and so on.This method can simplify the use of neural network structure, reducing the size of neurons for image reconstruction of electrical capacitance tomography system and providing a new way of thinking.关键词
电容层析成像/新型类支集神经网络/划分子网络/图像重建Key words
Electrical Capacitance Tomography(ECT)/ New Supported Set Network(NSSN)/ dividing subnetwork/ image reconstruction分类
信息技术与安全科学引用本文复制引用
李岩,冯莉,朱艳丹,张礼勇..类支集神经网络在ECT图像重建中的研究与应用[J].计算机工程与应用,2011,47(25):205-207,211,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60572135) （the National Natural Science Foundation of China under Grant No.60572135）
黑龙江省自然科学基金(No.F200505) （No.F200505）
黑龙江省教育厅基金项目(No.11511078). （No.11511078）
