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GA-BP混合算法在变压器色谱诊断法中的应用 被引量:33
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作者 王少芳 蔡金锭 《高电压技术》 EI CAS CSCD 北大核心 2003年第7期3-6,共4页
将一种改进的遗传操作与人工神经网络相结合的混合算法应用于电力变压器的故障诊断,有效地解决了常规BP算法易陷入局部极小、收敛速度慢和基本遗传算法早熟等缺点。实例仿真结果表明,该算法具有较快的收敛速度和较高的计算精度,满足电... 将一种改进的遗传操作与人工神经网络相结合的混合算法应用于电力变压器的故障诊断,有效地解决了常规BP算法易陷入局部极小、收敛速度慢和基本遗传算法早熟等缺点。实例仿真结果表明,该算法具有较快的收敛速度和较高的计算精度,满足电力变压器故障诊断的要求。 展开更多
关键词 电力变压器 故障诊断 色谱诊断法 人工神经网络 GA-BP混合算法 遗传算法
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Non-invasive diagnosis of H pylori infection: Evaluation of serological tests with and without current infection marker CIM 被引量:4
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作者 Sufi HZ Rahman M Golam Azam +7 位作者 M Anisur Rahman MS Arfin M Mahbub Alam Tareq M Bhuiyan Nasim Ahmed Motiur Rahman Shamsun Nahar MS Hassan 《World Journal of Gastroenterology》 SCIE CAS CSCD 2008年第8期1231-1236,共6页
AIM:To evaluate the performance of commercially available immunochromatographic (ICT) and immunoblot tests covering the current infection marker CIM and conventional ELISA for the diagnosis of H pylori infection in ad... AIM:To evaluate the performance of commercially available immunochromatographic (ICT) and immunoblot tests covering the current infection marker CIM and conventional ELISA for the diagnosis of H pylori infection in adult dyspeptic patients. METHODS:Consecutive non-treated dyspeptic patients undergoing diagnostic endoscopy were tested for H pylori infection by culture, rapid urease test, and histology of gastric biopsy specimens. Serum from 61 H pylori infected and 21 non-infected patients were tested for anti-H pylori IgG antibodies by commercial ELISA (AccuBindTM ELISA, Monobind, USA), ICT (Assure H pylori Rapid Test, Genelabs Diagnostics, Singapore), and immunoblot (Helico Blot 2.1, Genelabs Diagnostics, Singapore) assays. ICT and immunoblot kits cover CIM among other parameters and their performance with and without CIM was evaluated separately. RESULTS:Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of ELISA were 96.7%, 42.8%, 83.1%, 81.8%, and 82.9%, of ICT were 90.1%, 80.9%, 93.2%, 73.9%, and 87.8%, of ICT with CIM were 88.5%, 90.4%, 96.4%, 73.0%, and 89.0%, of immunoblot were 98.3%, 80.9%, 93.7%, 94.4%, and 93.9%, and of immunoblot with CIM were 98.3%, 90.4%, 96.7%, 95.0%, and 96.3%, respectively. CONCLUSION:Immunoblot with CIM had the best performance. ICT with CIM was found to be more specific and accurate than the conventional ELISA and may be useful for non-invasive diagnosis of H pylori infection. 展开更多
关键词 H pylori ELISA Immunochromatographic test IMMUNOBLOT Current infection marker
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