科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2015年
6期
79-81
,共3页
Lyapunov指数%电子商务用户信任度%控制模型
Lyapunov指數%電子商務用戶信任度%控製模型
Lyapunov지수%전자상무용호신임도%공제모형
Lyapunov index%user trust degree%control model
由于网络用户数据呈现渐进性非线性特征分离,导致对网络用户的信任度评价控制不准,无法有效实现对用户的准确推荐。提出一种基于Lyapunov协同权重控制的电子商务用户信任度评价渐进控制模型,将未知扰动和语义建模误差转化为满足给定信任评价的约束矩阵,完成用户信任网络控制器设计,采用Lyapunov指数系统感知策略,对用户信任权重值进行自适应调整,构建用户推荐模型构建与网络信任度控制模型,设计用户信任权重值协同感知算法,基于Lyapunov协同权重的电子商务用户信任度评价渐进控制模型改进设计。实验结果表明,该算法实现电子商务用户信任度渐进控制,控制精度较高,地域的分布特性也更加均衡,真实反映电子商务用户信任度评价的动态性、自适应性和稳健性特征,展示了较好的应用性能。
由于網絡用戶數據呈現漸進性非線性特徵分離,導緻對網絡用戶的信任度評價控製不準,無法有效實現對用戶的準確推薦。提齣一種基于Lyapunov協同權重控製的電子商務用戶信任度評價漸進控製模型,將未知擾動和語義建模誤差轉化為滿足給定信任評價的約束矩陣,完成用戶信任網絡控製器設計,採用Lyapunov指數繫統感知策略,對用戶信任權重值進行自適應調整,構建用戶推薦模型構建與網絡信任度控製模型,設計用戶信任權重值協同感知算法,基于Lyapunov協同權重的電子商務用戶信任度評價漸進控製模型改進設計。實驗結果錶明,該算法實現電子商務用戶信任度漸進控製,控製精度較高,地域的分佈特性也更加均衡,真實反映電子商務用戶信任度評價的動態性、自適應性和穩健性特徵,展示瞭較好的應用性能。
유우망락용호수거정현점진성비선성특정분리,도치대망락용호적신임도평개공제불준,무법유효실현대용호적준학추천。제출일충기우Lyapunov협동권중공제적전자상무용호신임도평개점진공제모형,장미지우동화어의건모오차전화위만족급정신임평개적약속구진,완성용호신임망락공제기설계,채용Lyapunov지수계통감지책략,대용호신임권중치진행자괄응조정,구건용호추천모형구건여망락신임도공제모형,설계용호신임권중치협동감지산법,기우Lyapunov협동권중적전자상무용호신임도평개점진공제모형개진설계。실험결과표명,해산법실현전자상무용호신임도점진공제,공제정도교고,지역적분포특성야경가균형,진실반영전자상무용호신임도평개적동태성、자괄응성화은건성특정,전시료교호적응용성능。
Due to a network user data show progressive nonlinear characteristics of separation, resulting in trust evaluation for network user control are not allowed, unable to effectively realize accurate recommendation for users. An user trust de?gree evaluation progressive control model is proposed based on collaborative Lyapunov weight, the unknown disturbance and semantic modeling error transformation to meet the constraint matrix of the given trust evaluation, to complete the de?sign of user trust network controller, using Lyapunov index system perception strategy of users trust weights are adaptively adjusted to construct user recommendation model construction and network trust control model, design of user trust weights cooperative sensing algorithm, cooperative Lyapunov weight of user trust degree evaluation model based on improved de?sign of progressive control. The experimental results show that the algorithm of user trust degree incremental control, high control accuracy, distribution characteristics of regional has become more balanced, reflect the user trust degree evaluation of dynamic, adaptive and robust characteristics are obtained, it shows good application properties.