In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule sampl...In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule samples from rules in an expert system,and through training by using these samples,an ANN based on expert-knowledge is further developed.The method is introduced into the field of quantitative identification of potential seismic sources on the basis of the rules in an expert system.Then it is applied to the quantitative identification of the potential seismic sources in Beijing and its adjacent area.The result indicates that the expert rule based on ANN method can well incorporate and represent the expert knowledge in the rules in an expert system,and the quality of the samples and the efficiency of training and the accuracy of the result are optimized.展开更多
将响应表面试验设计方法(RSM)应用于原子吸收光谱仪工作参数优化,以铜元素为目标化合物,结合Design-Expert软件进行数据处理.结果表明,单因素试验最佳工作条件:仪器灯电流15 m A,仪器吸喷速率7 m L/min,仪器乙炔气流量3.00 L/min.中心...将响应表面试验设计方法(RSM)应用于原子吸收光谱仪工作参数优化,以铜元素为目标化合物,结合Design-Expert软件进行数据处理.结果表明,单因素试验最佳工作条件:仪器灯电流15 m A,仪器吸喷速率7 m L/min,仪器乙炔气流量3.00 L/min.中心组合试验结果表明:当吸喷速率为7 m L/min、乙炔气流量为2.25 L/min、灯电流为10 m A时,仪器灵敏度最好.展开更多
a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative （PID） parameters for petrochemical processes. This retains the advantages of genetic...a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative （PID） parameters for petrochemical processes. This retains the advantages of genetic algorithms, namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.展开更多
According to the principle, “The failure data is the basis of software reliability analysis”, we built a software reliability expert system (SRES) by adopting the artificial intelligence technology. By reasoning out...According to the principle, “The failure data is the basis of software reliability analysis”, we built a software reliability expert system (SRES) by adopting the artificial intelligence technology. By reasoning out the conclusion from the fitting results of failure data of a software project, the SRES can recommend users “the most suitable model” as a software reliability measurement model. We believe that the SRES can overcome the inconsistency in applications of software reliability models well. We report investigation results of singularity and parameter estimation methods of experimental models in SRES.展开更多
The purpose of this paper is to implement and validate a decision making framework for building maintenance projects. The growing importance of maintenance sector not only in Malaysia but al- so increasingly globalize...The purpose of this paper is to implement and validate a decision making framework for building maintenance projects. The growing importance of maintenance sector not only in Malaysia but al- so increasingly globalized, the difficulty in selecting an appropriate procurement method and lack of research in this area provide an impetus for this research. There were 19 procurement selection criteria identified. In addition, there were 4 types of procurements methods which include outsourcing by specialist term contract, outsourcing by tendered schedule term contract, out- sourcing by repair and maintenance contract and outsourcing by measured term contract identified to be the most popular procurement methods adapted by public universities currently and at the same time were considered most important. The decision making framework was developed based on AHP technique and principles. Expert Choice Software was employed as development tool where the criteria and alternatives were integrated into the framework. Finally, structured interview was conducted to validate the framework developed. The validation process was carried out through structured interview with selected public university.展开更多
目的基于医院信息系统(hospital information system,HIS)中的数据构建儿童口腔门诊护理项目框架表。方法于2023年8月—2024年5月开展文献回顾并提取HIS系统中的相关项目和其它日常工作条目,形成初步条目框架列表。应用德尔菲专家函询法...目的基于医院信息系统(hospital information system,HIS)中的数据构建儿童口腔门诊护理项目框架表。方法于2023年8月—2024年5月开展文献回顾并提取HIS系统中的相关项目和其它日常工作条目,形成初步条目框架列表。应用德尔菲专家函询法,邀请全国22位专家进行2轮函询,并根据专家意见进行修订和完善,形成终版项目框架表。结果2轮函询中专家的积极系数均为100.0%,专家的权威系数分别为0.935、0.940,专家意见协调程度的Kendall′s W为0.200(P<0.01)。基于专家函询结果最终形成的儿童口腔门诊护理项目框架表,包含配合医生操作项目、直接工作项目和个人活动项目3个维度共计61个条目。结论本研究构建的儿童口腔门诊护理项目框架表具有较好的可靠性和科学性,可作为统计儿童口腔门诊护理工作量的科学工具,为临床护理管理提供数据支持和决策依据。展开更多
文摘In this paper,an approach is developed to optimize the quality of the training samples in the conventional Artificial Neural Network(ANN)by incorporating expert knowledge in the means of constructing expert-rule samples from rules in an expert system,and through training by using these samples,an ANN based on expert-knowledge is further developed.The method is introduced into the field of quantitative identification of potential seismic sources on the basis of the rules in an expert system.Then it is applied to the quantitative identification of the potential seismic sources in Beijing and its adjacent area.The result indicates that the expert rule based on ANN method can well incorporate and represent the expert knowledge in the rules in an expert system,and the quality of the samples and the efficiency of training and the accuracy of the result are optimized.
文摘将响应表面试验设计方法(RSM)应用于原子吸收光谱仪工作参数优化,以铜元素为目标化合物,结合Design-Expert软件进行数据处理.结果表明,单因素试验最佳工作条件:仪器灯电流15 m A,仪器吸喷速率7 m L/min,仪器乙炔气流量3.00 L/min.中心组合试验结果表明:当吸喷速率为7 m L/min、乙炔气流量为2.25 L/min、灯电流为10 m A时,仪器灵敏度最好.
文摘a new strategy combining an expert system and improved genetic algorithms is presented for tuning proportional-integral-derivative （PID） parameters for petrochemical processes. This retains the advantages of genetic algorithms, namely rapid convergence and attainment of the global optimum. Utilization of an orthogonal experiment method solves the determination of the genetic factors. Combination with an expert system can make best use of the actual experience of the plant operators. Simulation results of typical process systems examples show a good control performance and robustness.
基金the National Natural Science Foundation of China
文摘According to the principle, “The failure data is the basis of software reliability analysis”, we built a software reliability expert system (SRES) by adopting the artificial intelligence technology. By reasoning out the conclusion from the fitting results of failure data of a software project, the SRES can recommend users “the most suitable model” as a software reliability measurement model. We believe that the SRES can overcome the inconsistency in applications of software reliability models well. We report investigation results of singularity and parameter estimation methods of experimental models in SRES.
文摘The purpose of this paper is to implement and validate a decision making framework for building maintenance projects. The growing importance of maintenance sector not only in Malaysia but al- so increasingly globalized, the difficulty in selecting an appropriate procurement method and lack of research in this area provide an impetus for this research. There were 19 procurement selection criteria identified. In addition, there were 4 types of procurements methods which include outsourcing by specialist term contract, outsourcing by tendered schedule term contract, out- sourcing by repair and maintenance contract and outsourcing by measured term contract identified to be the most popular procurement methods adapted by public universities currently and at the same time were considered most important. The decision making framework was developed based on AHP technique and principles. Expert Choice Software was employed as development tool where the criteria and alternatives were integrated into the framework. Finally, structured interview was conducted to validate the framework developed. The validation process was carried out through structured interview with selected public university.
文摘目的基于医院信息系统(hospital information system,HIS)中的数据构建儿童口腔门诊护理项目框架表。方法于2023年8月—2024年5月开展文献回顾并提取HIS系统中的相关项目和其它日常工作条目,形成初步条目框架列表。应用德尔菲专家函询法,邀请全国22位专家进行2轮函询,并根据专家意见进行修订和完善,形成终版项目框架表。结果2轮函询中专家的积极系数均为100.0%,专家的权威系数分别为0.935、0.940,专家意见协调程度的Kendall′s W为0.200(P<0.01)。基于专家函询结果最终形成的儿童口腔门诊护理项目框架表,包含配合医生操作项目、直接工作项目和个人活动项目3个维度共计61个条目。结论本研究构建的儿童口腔门诊护理项目框架表具有较好的可靠性和科学性,可作为统计儿童口腔门诊护理工作量的科学工具,为临床护理管理提供数据支持和决策依据。
