Enhancing the basic role of consumption in economic development is an important way to enhance the endogenous stability of economic development and to promote high-quality economic development.The focus of economic de...Enhancing the basic role of consumption in economic development is an important way to enhance the endogenous stability of economic development and to promote high-quality economic development.The focus of economic development has shifted from production to consumption,the stage of economic development has shifted from supply constraints to demand constraints,the economic development strategy has shifted from export-oriented to the new pattern of dual circulation,and the economic development model has shifted from extensive growth to high-quality development,which has promoted the transformation of economic development momentum from an investment-led economy to a consumption-led economy.Consumption plays a fundamental role in economic development,and matched production,equal distribution,and smooth exchange provide conditions for consumption to promote economic development,which is a typical feature of a consumption-led economy.China is generally in the primary stage of a consumption-led economy.To promote the transformation of China's economic development momentum,it is necessary to match the economic development momentum with the economic development stage and promote the adaptive transformation of the economic development momentum from an investment-led economy to a consumption-led economy.展开更多
Traditional information systems are passive, i.e., data or knowledge is created, retrieved, modified, updated, and deleted only in response to operations issued by users or application programs, and the systems only c...Traditional information systems are passive, i.e., data or knowledge is created, retrieved, modified, updated, and deleted only in response to operations issued by users or application programs, and the systems only can execute queries or transactions explicitly submitted by users or application programs but have no ability to do something actively by themselves. Unlike a traditional information system serving just as a storehouse of data or knowledge and working passively according to queries or transactions explicitly issued by users and application programs, an autonomous evolutionary information system serves as an autonomous and evolutionary partner of its users that discovers new knowledge from its database or knowledge base autonomously, cooperates with its users in solving problems actively by providing the users with advices, and has a certain mechanism to improve its own state of “knowing” and ability of “working”. This paper seminally defines what is an autonomous evolutionary information system, explain why autonomous evolutionary information systems are needed, and presents some new issues, fundamental considerations, and research directions in design and development of autonomous evolutionary information systems.展开更多
Radial Basis Function Neural Network(RBFNN)ensembles have long suffered from non-efficient training,where incorrect parameter settings can be computationally disastrous.This paper examines different evolutionary algor...Radial Basis Function Neural Network(RBFNN)ensembles have long suffered from non-efficient training,where incorrect parameter settings can be computationally disastrous.This paper examines different evolutionary algorithms for training the Symbolic Radial Basis Function Neural Network(SRBFNN)through the behavior’s integration of satisfiability programming.Inspired by evolutionary algorithms,which can iteratively find the nearoptimal solution,different Evolutionary Algorithms(EAs)were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation(SRBFNN-2SAT).The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms,including Genetic Algorithm(GA),Evolution Strategy Algorithm(ES),Differential Evolution Algorithm(DE),and Evolutionary Programming Algorithm(EP).Each of these methods is presented in the steps in the flowchart form which can be used for its straightforward implementation in any programming language.With the use of SRBFNN-2SAT,a training method based on these algorithms has been presented,then training has been compared among algorithms,which were applied in Microsoft Visual C++software using multiple metrics of performance,including Mean Absolute Relative Error(MARE),Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),Mean Bias Error(MBE),Systematic Error(SD),Schwarz Bayesian Criterion(SBC),and Central Process Unit time(CPU time).Based on the results,the EP algorithm achieved a higher training rate and simple structure compared with the rest of the algorithms.It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight,accompanied by the slightest iteration error,which minimizes the objective function of SRBFNN-2SAT.展开更多
基金supported by the Outstanding Young Leading Talent Project titled"Research on the Measurement and Growth of Digital Consumption"(No.2022SMRC03),approved by the Modern Business Research Center at Zhejiang Gongshang University,the Key Research Base for Humanities and Social Sciences under the Ministry of Educationsupported by the"Research on the Current Situation,Issues and Strategies of China's Consumption-Led Economic Development"under the Special Research Project of"Consumption Promotion"of Zhejiang Gongshang University。
文摘Enhancing the basic role of consumption in economic development is an important way to enhance the endogenous stability of economic development and to promote high-quality economic development.The focus of economic development has shifted from production to consumption,the stage of economic development has shifted from supply constraints to demand constraints,the economic development strategy has shifted from export-oriented to the new pattern of dual circulation,and the economic development model has shifted from extensive growth to high-quality development,which has promoted the transformation of economic development momentum from an investment-led economy to a consumption-led economy.Consumption plays a fundamental role in economic development,and matched production,equal distribution,and smooth exchange provide conditions for consumption to promote economic development,which is a typical feature of a consumption-led economy.China is generally in the primary stage of a consumption-led economy.To promote the transformation of China's economic development momentum,it is necessary to match the economic development momentum with the economic development stage and promote the adaptive transformation of the economic development momentum from an investment-led economy to a consumption-led economy.
基金Supported in part by The Ministry of EducationCulture+1 种基金SportsScience and Technology of Japan under Grant-in-Aid for Scient
文摘Traditional information systems are passive, i.e., data or knowledge is created, retrieved, modified, updated, and deleted only in response to operations issued by users or application programs, and the systems only can execute queries or transactions explicitly submitted by users or application programs but have no ability to do something actively by themselves. Unlike a traditional information system serving just as a storehouse of data or knowledge and working passively according to queries or transactions explicitly issued by users and application programs, an autonomous evolutionary information system serves as an autonomous and evolutionary partner of its users that discovers new knowledge from its database or knowledge base autonomously, cooperates with its users in solving problems actively by providing the users with advices, and has a certain mechanism to improve its own state of “knowing” and ability of “working”. This paper seminally defines what is an autonomous evolutionary information system, explain why autonomous evolutionary information systems are needed, and presents some new issues, fundamental considerations, and research directions in design and development of autonomous evolutionary information systems.
基金This work is supported by Ministry of Higher Education(MOHE)through Fundamental Research Grant Scheme(FRGS)(FRGS/1/2020/STG06/UTHM/03/7).
文摘Radial Basis Function Neural Network(RBFNN)ensembles have long suffered from non-efficient training,where incorrect parameter settings can be computationally disastrous.This paper examines different evolutionary algorithms for training the Symbolic Radial Basis Function Neural Network(SRBFNN)through the behavior’s integration of satisfiability programming.Inspired by evolutionary algorithms,which can iteratively find the nearoptimal solution,different Evolutionary Algorithms(EAs)were designed to optimize the producer output weight of the SRBFNN that corresponds to the embedded logic programming 2Satisfiability representation(SRBFNN-2SAT).The SRBFNN’s objective function that corresponds to Satisfiability logic programming can be minimized by different algorithms,including Genetic Algorithm(GA),Evolution Strategy Algorithm(ES),Differential Evolution Algorithm(DE),and Evolutionary Programming Algorithm(EP).Each of these methods is presented in the steps in the flowchart form which can be used for its straightforward implementation in any programming language.With the use of SRBFNN-2SAT,a training method based on these algorithms has been presented,then training has been compared among algorithms,which were applied in Microsoft Visual C++software using multiple metrics of performance,including Mean Absolute Relative Error(MARE),Root Mean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),Mean Bias Error(MBE),Systematic Error(SD),Schwarz Bayesian Criterion(SBC),and Central Process Unit time(CPU time).Based on the results,the EP algorithm achieved a higher training rate and simple structure compared with the rest of the algorithms.It has been confirmed that the EP algorithm is quite effective in training and obtaining the best output weight,accompanied by the slightest iteration error,which minimizes the objective function of SRBFNN-2SAT.
