Description: 人工智能实习作业，基于web的动物识别专家系统，基于产生式规则的正向推理，使用jsp开发，开发环境为Eclipse+struts+tomcat+mysql，内含详细说明文档-Practice of artificial intelligence operations, web-based expert system for animal identification, production rule-based forward reasoning, the use of jsp development, development environment for Eclipse+ struts+ tomcat+ mysql, containing detailed description of the document Platform: |
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Author:da |
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Description: A Rule Based Expert System created in Prolog 4500,which incputs text files containing prolog clauses asserts them into the database
and by using the inference engine reaches to conclusions. Platform: |
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Author:taskon |
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Description: Jess是由Sandia National Laboratories （as part of an internal research project）的一位专家写成。Jess全名为java expert system shell,是基于CLIPS规则扩展的一个系统工具，由java语言完成。通过应用事实规则几何可以退出新的事实。支持多对对的匹配。-Jess from Sandia National Laboratories (as part of an internal research project) written by an expert. Jess full name java expert system shell, CLIPS rule-based extension of a system tool, completed by the java language. Geometry through the application of the fact that rules out new facts can be. Multi-matching pairs. Platform: |
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Author:hy zhang |
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Description: 为提高海军舰艇的生存能力和满足减少人员编制要求，重新配置自动恢复服务可以执行恢复断电负荷。本文提出了一种自动规则为基础的电功率系统对海军舰艇重构专家系统方法，确定必要的控制操作恢复供电后战斗损伤或级联故障断电负荷。-The electric-power systems in US Navy ships supply energy to sophisticated systems for weapons, communications, navigation and operation. Faults in a shipboard power system (SPS) may occur owing to material casualties of electrical components or widespread faults owing to battle damage. These faults may interrupt the supply of electrical energy to loads that are not faulty or damaged. To enhance survivability of naval ships and meet reduced manning requirements, automatic reconfiguration for service restoration may be performed to restore the de-energised loads. The paper presents an automatic rule-based expert-system method for reconfiguration of electric-power systems on naval ships which determines the control operations necessary to restore power supply to de-energised loads after battle damage or cascading faults. A case study is presented to illustrate the effectiveness of the proposed method Platform: |
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Author:韩小峰 |
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Description: 本文提出了一种新的推理机制来确定规则的专业知识为基础的Petri网适当的开关操作（RKPN）方法。一个26馈线的实际分配制度被指定为揭示了发展与计算机模拟方法的有效性。拟议的推理机制可以成功地解决馈线过载/故障应急根据负载的变化，从温度升高导致的。
-This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises. Platform: |
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Author:韩小峰 |
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Description: clips最新版
CLIPS是一种专家系统工具，最初由NASA/Lyndon B. Johnson太空中心软件技术研究室开发出来。自1986年首次发布以来，CLIPS经历了不断的改进和完善。现在它已经被广泛的应用在数以万计的全球用户中。 CLIPS被开发出来以促进集成人类知识和经验的软件发展。 在CLIPS中，知识的表示有三种方式： l 规则，规则表示法是基于启发式经验知识库的首要选择。 l 自定义函数和通用函数，这种方式是程序式知识表示的首选。 l 面向对象设计，也是程序式知识表示的首选。面向对象的程序设计被支持的5个普遍接受的特征是：类，消息处理函数，抽象，封装，继承和多态性。模式匹配可以是对象和事实。 你可以仅用规则，或者仅用对象或者两者混合使用来开发软件。 CLIPS同时支持与其他语言的集成，如C和Java。事实上，CLIPS是C Language Integrated Production的缩写。规则能基于事实与对象的匹配，规则和对象同时组成了一个集成系统。除了被当作一个独立的工具之外，CLIPS还能被程序语言调用，运行其函数，然后返回给调用函数控制权。同样的，程序代码也能作为一个外部函数在CLIPS中被定义和调用。当外部代码执行完毕后，控制权返回到CLIPS
-CLIPS is an expert system tool, originally developed by the Software Technology Laboratory of the NASA/Lyndon B. Johnson Space Center. Since its first release in 1986, CLIPS has undergone continuous improvement and perfection. It is now widely used in tens of thousands of users worldwide. CLIPS was developed to facilitate the integration of human knowledge and experience in software development. In CLIPS, knowledge representation in three ways: l rules, rules, notation is the first choice of heuristic experience-based knowledge base. l-defined functions and general functions, this approach is the first choice of the procedural knowledge. l object-oriented design, is also the program of choice for knowledge representation. The five generally accepted features of object-oriented programming support: classes, message-handling functions, abstraction, encapsulation, inheritance and polymorphism. Pattern matching can be the objects and facts. You can only rule, or only to develop the softwar Platform: |
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Description: 动物识别系统实验 1.基于规则产生式系统结构： 基于规则的产生式系统一般由规则库（知识库）、综合数据库和推理引擎（推理机）三部分组成，规则库中它的基本组成框架如下图1所示。 知识库由谓词演算事实和有关讨论主题的规则构成，综合库又称为上下文，用来暂时存储推理过程中的结论和数据。推理机是用规则进行推理的过程和行为。知识采集系统是领域专家把相关领域的知识表示成一定的形式，并输入到知识库中。解释系统通过用户输入的条件来分析被系统执行的推理结构，并将专家知识以易理解的方式并把知识解释给用户。 2. 简单动物识别产生式系统结构： ⑴ 知识库 ANIMAL的知识库非常小，仅仅包含16条规则（一 般说来，一个产生式系统的知识库应包含≥几百条规则）； ⑵ 解空间很小，仅仅包含8个解，或8个最高假设（在一个特定 的动物园里，共有虎、豹、长颈鹿、斑马、鸵鸟、企鹅和信天 翁、八哥等8种动物）； ⑶ 初始事实集合很小，仅仅包含21个事实，如图中的F1至F21； ⑷ 数据（即事实、证据、断言），知识（即浅层知识，规则）和推 理都是精确的，即确定性的； ⑸ 知识库。-Animal Identification System Experiment 1. Rule-based system architecture: rule-based production system by the rule base (KB), a comprehensive database and inference engine (inference engine) consists of three parts, the rule base of its most basic framework is as followsshown in Figure 1. Knowledge is the rules of the facts and the topics discussed by the predicate calculus, the comprehensive library also known as context to conclusions and data is temporarily stored in the reasoning process. The inference engine is the process of inference rules and behavior. Knowledge acquisition system is the domain expert knowledge of the related fields into definite form, and entered into the knowledge base. Interpretation system conditions input by the user the inference structure analysis was performed by the system, and the expert knowledge is easy to understand and explain the knowledge to the user. 2 simple animal identification system structure: (1) Knowledge Base ANIMAL knowledge base is v Platform: |
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Author:六沦 |
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Description: 动物识别系统实验 1.基于规则产生式系统结构： 基于规则的产生式系统一般由规则库（知识库）、综合数据库和推理引擎（推理机）三部分组成，规则库中它的基本组成框架如下图1所示。 知识库由谓词演算事实和有关讨论主题的规则构成，综合库又称为上下文，用来暂时存储推理过程中的结论和数据。推理机是用规则进行推理的过程和行为。知识采集系统是领域专家把相关领域的知识表示成一定的形式，并输入到知识库中。解释系统通过用户输入的条件来分析被系统执行的推理结构，并将专家知识以易理解的方式并把知识解释给用户。 2. 简单动物识别产生式系统结构： ⑴ 知识库 ANIMAL的知识库非常小，仅仅包含16条规则（一 般说来，一个产生式系统的知识库应包含≥几百条规则）； ⑵ 解空间很小，仅仅包含8个解，或8个最高假设（在一个特定 的动物园里，共有虎、豹、长颈鹿、斑马、鸵鸟、企鹅和信天 翁、八哥等8种动物）； ⑶ 初始事实集合很小，仅仅包含21个事实，如图中的F1至F21； ⑷ 数据（即事实、证据、断言），知识（即浅层知识，规则）和推 理都是精确的，即确定性的； ⑸ 知识库。-Animal Identification System Experiment 1. Rule-based system architecture: rule-based production system by the rule base (KB), a comprehensive database and inference engine (inference engine) consists of three parts, the rule base of its most basic framework is as followsshown in Figure 1. Knowledge is the rules of the facts and the topics discussed by the predicate calculus, the comprehensive library also known as context to conclusions and data is temporarily stored in the reasoning process. The inference engine is the process of inference rules and behavior. Knowledge acquisition system is the domain expert knowledge of the related fields into definite form, and entered into the knowledge base. Interpretation system conditions input by the user the inference structure analysis was performed by the system, and the expert knowledge is easy to understand and explain the knowledge to the user. 2 simple animal identification system structure: (1) Knowledge Base ANIMAL knowledge base is Platform: |
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Author:六沦 |
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Description: 动物识别系统实验 1.基于规则产生式系统结构： 基于规则的产生式系统一般由规则库（知识库）、综合数据库和推理引擎（推理机）三部分组成，规则库中它的基本组成框架如下图1所示。 知识库由谓词演算事实和有关讨论主题的规则构成，综合库又称为上下文，用来暂时存储推理过程中的结论和数据。推理机是用规则进行推理的过程和行为。知识采集系统是领域专家把相关领域的知识表示成一定的形式，并输入到知识库中。解释系统通过用户输入的条件来分析被系统执行的推理结构，并将专家知识以易理解的方式并把知识解释给用户。 2. 简单动物识别产生式系统结构： ⑴ 知识库 ANIMAL的知识库非常小，仅仅包含16条规则（一 般说来，一个产生式系统的知识库应包含≥几百条规则）； ⑵ 解空间很小，仅仅包含8个解，或8个最高假设（在一个特定 的动物园里，共有虎、豹、长颈鹿、斑马、鸵鸟、企鹅和信天 翁、八哥等8种动物）； ⑶ 初始事实集合很小，仅仅包含21个事实，如图中的F1至F21； ⑷ 数据（即事实、证据、断言），知识（即浅层知识，规则）和推 理都是精确的，即确定性的； ⑸ 知识库。-Animal Identification System Experiment 1. Rule-based system architecture: rule-based production system by the rule base (KB), a comprehensive database and inference engine (inference engine) consists of three parts, the rule base of its most basic framework is as followsshown in Figure 1. Knowledge is the rules of the facts and the topics discussed by the predicate calculus, the comprehensive library also known as context to conclusions and data is temporarily stored in the reasoning process. The inference engine is the process of inference rules and behavior. Knowledge acquisition system is the domain expert knowledge of the related fields into definite form, and entered into the knowledge base. Interpretation system conditions input by the user the inference structure analysis was performed by the system, and the expert knowledge is easy to understand and explain the knowledge to the user. 2 simple animal identification system structure: (1) Knowledge Base ANIMAL knowledge base is v Platform: |
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Author:六沦 |
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Description: 一个简单的专家系统，基于VC#所编译，主要内容是知识库，规则集-A simple expert system, based on VC# compiler, the main contents of the knowledge base, rule sets, and so on Platform: |
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Author:elernity |
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Description: 发展农业信息技术，是农业迎接知识经济挑战、推动农业科技革命的重要举措。农作物施肥专家系统，是指导农民科学、合理施肥的专家系统，是农业领导进行农业生产宏观决策管理的工具，是农技人员指导农业生产的帮手。在系统建设上，根据指导农作物施肥的要求，确定农作物施肥专家系统的系统功能与结构，通过耕地质量调查、书籍资料数字化、专家经验规则化等途径建立支持决策数据库，通过软件开发、数字地图创建，建立施肥专家系统。在系统应用上，在向用户提问索取参数的基础上提出指导施肥的决策意见及其他相关农艺措施意见-Development of agricultural information technology, agriculture meet the challenges of the knowledge economy, promote agricultural scientific and technological revolution of important initiatives. Crop fertilization expert system is to guide farmers on scientific, rational fertilization expert system, agricultural production and agricultural leaders macroeconomic policy management tool, agricultural officers to guide agricultural production helper. In the system construction, according to the guidance of crop fertilizer requirements, determine crop fertilization expert system, system functions and structure, through the quality of cultivated land surveys, books digitize, expert experience rule of other ways to build support for decision-making database, software development, digital map creation establish fertilization expert system. Applications in the system, in the request parameters to the user on the basis of questions raised guidance fertilization advice and other relevant decisi Platform: |
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Author:z |
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Description: 人工智能实习作业，基于web的动物识别专家系统，基于产生式规则的正向推理，使用jsp开发，开发环境为Eclipse+struts+tomcat+mysql，内含详细说明文档-Artificial intelligence internship job, web-based expert system for animal identification, based on production rule reasoning, using jsp development, development environment for Eclipse+struts+tomcat+mysql, containing detailed documentation Platform: |
Size: 5490688 |
Author:张骏 |
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Description: 该系统从数据库中抽取试题自动生成电子试卷，供考生考试用，考生提交试卷后系统自动评分。
人工智能实习作业，基于web的动物识别专家系统，基于产生式规则的正向推理，使用jsp开发，开发环境Eclipse+struts+tomcat+mysql，内含详细说明文档-The system is extracted from the database automatically generated e-paper test questions for the candidates examinations, candidates submit papers automatic scoring system. Artificial intelligence internship job, web-based expert system for animal identification, based on production rule reasoning, using jsp development, development environment for Eclipse+ struts+ tomcat+ mysql, contains detailed documentation Platform: |
Size: 7744512 |
Author:刘运 |
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Description: 人工智能实习作业，基于web的动物识别专家系统，基于产生式规则的正向推理，使用jsp开发，开发环境为Eclipse+struts+tomcat+mysql，内含详细说明文档-Artificial intelligence internship job, web-based expert system for animal identification, based on production rule reasoning, using jsp development, development environment for Eclipse+ struts+ tomcat+ mysql, contains detailed documentation Platform: |
Size: 9212928 |
Author:陈琼 |
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Description: Designing a Fuzzy Rule Based Expert System for Cyber -Designing a Fuzzy Rule Based Expert System for Cyber ... Platform: |
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Author:obra |
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Description: A Rule Based Expert System created in Prolog 4500,which incputs text files containing prolog clauses asserts them into the and by using the inference engine reaches to conclusions.-A Rule Based Expert System created in Prolog 4500,which incputs text files containing prolog clauses asserts them into the and by using the inference engine reaches to conclusions. Platform: |
Size: 3072 |
Author:asu0t548 |
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Description: 广泛使用的专家系统工具CLIPS源码，可以用来构建各类基于规则的专家系统。-Widely used expert system tool CLIPS source code can be used to build all kinds of rule-based expert system. Platform: |
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Author:cyyg |
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Search - rule based expert system