Recent advances on dynamic learning from adaptive NN control

Notice that intelligent control is developed based on the learning and control abilities of human beings. As such, an ideal intelligent control system should not only have the ability to adapt to complex dynamic environments, but also the ability to imitate human learning. The learning ability means to acquire the knowledge of uncertain closed-loop dynamics from dynamic environments, and use the stored experience knowledge to improve control performance [1,2]. Such an autonomous learning has been viewed as one of the most important and indispensable capabilities to achieve a high degree of system autonomy. The existing intelligent control schemes, including adaptive neural control and adaptive fuzzy control, are usually exclusively on the system stability by the use of online adjustment parameters to estimate the unknown dynamics, in which the exponential convergence of the estimated parameters is not a major concern. As a result, most of existing intelligent control schemes still need to readjust the controller parameters for the same or similar control tasks. In this sense, as shown in \cite{3}, the learning ability of intelligent control is actually very limited and still needs the further research. However, it is very challenging to acquire and express the knowledge of unknown dynamics in a nonstationary or dynamic environment....     

Text Classification Based on Domain Ontology

With the quick increase of information and knowledge, automatically classifying text documents is becoming a hotspot of knowledge management. A critical capability of knowledge management systems is to classify the text documents into different categories, which are meaningful to users. In this paper, a text topic classification model based on domain ontology by using Vector Space Model is proposed. Eigenvectors as the input to the vector space model are constructed by utilizing concepts and hierarchical structure of ontology, which also provides the domain knowledge. However, a limited vocabulary problem is encountered while mapping keywords to their corresponding ontology concepts. A synonymy lexicon is utilized to extend the ontology and compress the eigenvector. The problem that eigenvectors are too large and complex to be calculated in traditional methods can be solved. At last, combing the concept＇s supporting, a top-down method according to the ontology structure is used to complete topic classification. An experimental system is implemented and the model is applied to this practical system. Test results show that this model is feasible.     

The intelligent CAI system for chemistry based on automated reasoning

A new type of intelligent CAI system for chemistry is developed in this paper based on automated reasoning with chemistry knowledge.The system has shown its ability to solve chemistry problems,to assist students and teachers in studies and instruction with the automated reasoning functions.Its open mode of the knowledge base and its unique style of the interface between the system and human provide more opportunities for the users to acquire living knowledge through active participation.The automated reasoning based on basic chemistry knowledge also opened a new approach to the information storage and management of the ICAI system for sciences.     

A Software Tool for Constructing Traditional Chinese Medical Expert Systems

It is an urgent task to hnplemeut a lot of expert systems to capture the valuable expertise ofexperienced doctors of traditional Chinese medicine.In order to meet the needs,a software tool isdeveloped.It features a unified diagnosis model,a specially designed knowledge representationlanguage and an efficient but effective inference engine.To implement an expert system,it isonly necessary to input the expert's knowledge expressed in knowledge representation languagewithout the design of any additional software.The time and effort required for implementing anexpert system are thus greatly saved.The software is very compact and can run onmicrocomputers e.g.IBM-PC/XT.Two traditional Chinese medical expert systems have beensuccessfully implemented with the tool.     

基于粗集分类和遗传算法的知识库集成方法

As the base of intelligent system, it is very important to guarantee the consistency and non-redundancy of knowledge in knowledge database. Since the variety of knowledge sources, it is necessary to dispose knowledge with redundancy, inclusion and even contradiction during the integration of knowledge database. This paper researches the integration method based on the multi-knowledge database. Firstly, it finds out the inconsistent knowledge sets between the knowledge databases by rough set classification and presents one method eliminating the inconsistency by test data. Then, it regards consistent knowledge sets as the initial population of genetic calculation and constructs a genetic adaptive function based on accuracy, practicability and spreadability of knowledge representation to carry on the genetic calculation. Lastly, classifying the results of genetic calculation reduces the knowledge redundancy of knowledge database. This paper also presents a frameworkfor knowledge database integration based on the rough set classification and genetic algorithm.     

基于ATMS的知识库维护系统与开放逻辑的实现

In this paper, a novel ATMS-based knowledge base maintenance system is proposed. Itenhances functions of the tranditional knowledge base maintenance systems as it is a multiple con-text, open and non-monotonic system, and possesses capacities of describing and characterizingknowledge increment, knowledge update and scientific discoveries. The relation of the open logicand this system is also discussed. Both of them aim at the computer simulation of higher mentalprocesses on theoretical foundation and implementation respectively     

COMPUTER PATTERN DESIGN AND PAINTING TECHNIQUE BASED ON AESTHETICS KNOWLEDGE

Computer Art (CA) is a very important field in computer applications. Based on the analysisand summarization of the painting process, a new method of CA creation using the techniques of com-puter graphics and the expert system is presented in this paper. The reduction of pattern model, simu-lation of special effect, representation of aesthetics knowledge and fuzzy judgement of beauty are includ-ed by this new method.     

An assignment method for IPUs in distributed systems

In a distributed system,one of the most important thing is to establish an assignment method for distributing tasks.It is assumed that a distributed system does not have a central administrator,all independent processing units in this system want to cooperate for the best results,but they cannot know the conditions of one another,So in order to undertake the tasks in admirable proportions,they have to adjust their undertaking tasks only by selt-learning.In this paper,the performance of this system is analyzed by Markov chains,and a robust method of self-learning for independent processing units in this kind of systems is presented.This method can lead the tasks of the system to be distributed very well among all the independent processing units,and can also be used to solve the general assignment problem.     

Guidelines for creating a rule-based knowledge learning system and their application to a Chinese business card layout analysis

Rule selection has long been a problem of great challenge that has to be solved when developing a rule-based knowledge learning system.Many methods have been proposed to evaluate the eligibility of a single rule based on some criteria.However,in a knowledge learning system there is usually a set of rules,These rules are not independent,but interactive,They tend to affect each other and form a rulesystem.In such case,it is no longer rasonable to isolate each rule from others for evaluation.A best rule according to certain criterion is not always the best one for the whole system.Furthermore,the data in the real world from which people want to create their learning system are often ill-defined and inconsistent.In this case,the completeness and consistency criteria for rule selection are no longer essential.In this paper,some ideas about how to solve the rule-selection problem in a systematic way are proposed.These ideas have been applied in the design of a Chinese business card layout analysis system and gained a goods result on the training data set of 425 images.The implementation of the system and the result are presented in this paper.     

The Instructional Media for Different Levels in the Philippine Educational System

In the Philippines, the K＋I2 system is newly introduced and the readiness for its implementation undoubtedly made the teaching community confused and confounded. Thus, extra efforts are being done to upgrade and update all instructional materials. Even it＂ the Department of Education are preparing the faculty members through trainings, seminars and providing them with syllabus accompanying the new curriculum, still the confidence for the coming teaching assignments for the additional two years in the system is vet3.＇ Iow~ The faculty members are now strategizing teaching methodology for the subjects they have to handle through upgrading not only their knowledge but also the teaching materials they are to use in their classroom. With the changing environment, the learning style of students also advances. Children are now exposed to various modern gadgets, thus, they learn more advanced knowledge about their environment. These modern medium must be an advantage to the teaching profession. Teachers must know how and what the children learn through these medium and create some learning materials that will augment this knowledge in schools. This study is a partial analysis of the learning style of students in different levels of the educational system and the knowledge they acquire through different modern medium and test the gap between this and the knowledge they must learn in school. Also, this study will come up with what medium can be used as instructional medium that will aid the faculty members in their teaching courses or subjects in school.     

基于网络的协同知识管理系统(NCKMS)研究

技术创新的需要和网络信息技术的发展,使基于网络的知识集成、知识交流和共享变得非常必要和可行。文章介绍了作者开发的基于网络的协同知识管理系统(NCKMS,NetworkedCollaborativeKnowledgeManagementSystem),介绍了系统的功能设计、体系结构及系统开发中的关键技术。该系统为分散异地的企业员工和客户的知识交流和共享提供了有力的工具。     

Knowledge networking to support medical new product development

New product development (NPD) in the pharmaceutical industry is very knowledge intensive. Knowledge generated and used during medical NPD processes is fragmented and distributed across various phases and artifacts. Many challenges in medical NPD can be addressed by the integration of this fragmented knowledge. We propose the creation and use of knowledge networks to address these challenges. Based on a case study conducted in a leading pharmaceutical company, we have developed a knowledge framework that represents knowledge fragments that need to be integrated to support medical NPD. We have also developed a prototype system that supports knowledge integration using knowledge networks. We illustrate the capabilities of the system through scenarios drawn from the case study. Qualitative validation of our approach is also presented.     

本体知识库系统研究

该文在传统知识库系统的基础上,将本体论引入到知识库中。介绍了本体的起源及其在知识工程领域的发展,探讨了知识库系统中本体的定义和主要作用。然后,研究了知识库系统的构建方法,并以试题知识库系统为例介绍了它的应用。     

A new process knowledge representation approach using parameter flow chart

Knowledge in various stages of the product development process has become increasingly important for manufacturing companies to improve their performance, especially for those One-of-a-Kind Production (OKP) companies producing highly customized products. Process knowledge is a very special type of knowledge that controls how products are best manufactured. This knowledge can help OKP companies produce high value-added products with better quality at shorter times and at a competitive cost. Process knowledge is normally hard to capture and manage and is even more difficult to represent. This paper proposes a Parameter Flow Chart (PFC) based new knowledge representation method which efficiently combines parameter information, flow chart technology, and visualization technology. The goal of this research is to provide a user-friendly and effective way of representing process knowledge for OKP companies so they can develop and accumulate their own process knowledge repository. The basic definition and principle of the approach will be introduced first and the software system model then proposed. Two related key issues, the modeling of various chart units used in the PFC approach and dealing with expressions containing various parameters, are discussed in detail. The prototype version of the system has been developed and demonstrated with case studies, which has proven the feasibility of the proposed approach.     

综述：知识系统的V＆V技术

知识库的异常是影响整个知识系统性能的重要因素之一，因此必须对获取的知识进行校验。本文综述了知识库异常检测和验证的相关研究，给出了异常知识的分类及其危害性，分析了知识库验证困难的原因，介绍了用于知识库验证的静态和动态方法，列举了国际上几个著名的知识库验证工具，并对知识库验证的研究进行了展望。     

基于智能对象的知识处理方法在专家系统中的应用研究

在分析传统的基于被动对象的知识系统基础上,提出了一种基于智能对象的知识处理方法,并对基于智能对象的知识表示、存储及推理方法进行了较深入的研究。最后通过实例说明了该方法的有效性。     

机场机位自动分配系统知识库的研究与设计

在机场机位自动分配系统中引入知识库，可以提高系统的灵活性和通用性。该文针对机场机位分配系统的实际要求，从知识的组成出发，给出了一种基于关系型数据库的通用知识库结构设计，同时用拆分规则的形式化方法表示知识，从而使得该系统能够完善地表达事实规则体系知识，并且使得推理的过程变得简单高效。     

The impact of electronic environmental knowledge on the environmental behaviors of people

Nowadays, we examined the connection between individuals' relationships with the natural environment, their environmental behaviors, and their environmental knowledge with a focus on environmental attitudes, environmental awareness, environmental values, public information, environmental skills, and environmental responsibility is very interesting. Environmental knowledge involves human discourse about interrelationships with the environment. The impact of people to perceive and interpret the relative health of environmental systems and to take appropriate action to maintain, restore, or improve the health of those systems is very important. Therefore, environmental teaching and learning is very necessary and can help to improve the environment behaviors of the people. The purpose of this paper is to investigate the impact of e-learning system the environmental of the behavior. Data were collected from 330 students of Tabriz Branch, Islamic Azad University. After performing satisfactory reliability and validity checks, the structural model was tested with the use of smart PLS 2.0. Results indicate that electronic environmental knowledge learning has a direct effect on person's environmental behaviors.     

A knowledge engineering approach to knowledge management

Knowledge management facilitates the capture, storage, and dissemination of knowledge using information technology. Methods for managing knowledge have become an important issue in the past few decades, and the KM community has developed a wide range of technologies and applications for both academic research and practical applications. In this paper, we propose a knowledge engineering approach (KMKE) to knowledge management. First, a knowledge modeling approach is used to organize and express various types of knowledge in a unified knowledge representation. Second, a verification mechanism is used to verify knowledge models based on the formal semantics of the knowledge representation. Third, knowledge models are classified and stored in a hierarchical ontology system. Fourth, a knowledge query language is designed to enhance the dissemination of knowledge. Finally, a knowledge update process is applied to modify the knowledge storage with respect to users’ needs. A knowledge management system for computer repair is used as an illustrative example.     

基于免疫算法的故障诊断知识获取方法

随着系统设备和功能的日益复杂化,各种故障现象成因越来越复杂,智能故障诊断系统作为人工智能技术在故障诊断领域的应用,在实践中取得了较好的成效,但诊断知识获取一直是系统建造中的瓶颈问题,机器学习是目前采用较多、也较为有效的一种方法。该文基于从已有的诊断经验事例中学习获取知识的思路,借鉴免疫理论的相关概念,设计了新的知识获取模型,利用免疫算法,按照预定的优化目标函数,生成最优的诊断知识,通过对一故障实例知识获取的应用,验证了该方法的可行性。