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
Knowledge has become one of the most important driving forces for business success. Organizations are becoming more knowledge intensive. Many firms in the global market are aware of this, and they try to explore the f...Knowledge has become one of the most important driving forces for business success. Organizations are becoming more knowledge intensive. Many firms in the global market are aware of this, and they try to explore the field of knowledge management （KM） in order to improve and sustain their competitiveness. Knowledge has always been the central in the functioning of society. However, in today＇s ＂knowledge economy＂, organizations are increasingly aware of the need for a ＂knowledge focus＂ in their organizational strategies as they respond to changes in the environment. The aim of this paper is to describe the theoretical concepts and approaches of KM process that could be implemented in organizations by reviewing KM process theories and present suggestions for what a general process should include based on analysis of various models presented in KM. The main emphasis is laid upon the concept of goal definition review, validation, and knowledge training processes in order to make sure that KM process initiative will deliver competitive advantage to the organization.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Knowledge has become one of the most important driving forces for business success. Organizations are becoming more knowledge intensive. Many firms in the global market are aware of this, and they try to explore the field of knowledge management （KM） in order to improve and sustain their competitiveness. Knowledge has always been the central in the functioning of society. However, in today＇s ＂knowledge economy＂, organizations are increasingly aware of the need for a ＂knowledge focus＂ in their organizational strategies as they respond to changes in the environment. The aim of this paper is to describe the theoretical concepts and approaches of KM process that could be implemented in organizations by reviewing KM process theories and present suggestions for what a general process should include based on analysis of various models presented in KM. The main emphasis is laid upon the concept of goal definition review, validation, and knowledge training processes in order to make sure that KM process initiative will deliver competitive advantage to the organization.
