'Expert system es' diaporamas de présentation

Lecture 8

Lecture 8. Artificial Intelligence Intelligent agents. Learning Objectives. Identify how neural networks fuzzy logic genetic algorithms virtual reality, and intelligent agents can be used in business and understand the concepts related to each of these technologies

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Dr. Honghui Deng

MIS 370 System Analysis Theory. Dr. Honghui Deng. Assistant Professor MIS Department UNLV. Educational Background. Ph.D., Red McCombs School of Business, University of Texas at Austin, 2002 --MSIS, OR/OM, Finance --Co-Supervised by Dr.s William W. Cooper & Patrick Brockett

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Lecture

2. Lecture. Organisational Information Systems (Unit 2). Different ways in which information can create value for organisations:. Customers and markets. Add value. Organisation A. Organisation B. Reduce cost. Manage risks. Transactions and processes.

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Chapter 10

Chapter 10. Decision Support Systems. Decision Support in Business. Companies are investing in data-driven decision support application frameworks to help them respond to Changing market conditions Customer needs This is accomplished by several types of Management information

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Lecture

2. Lecture. Organisational Information Systems (Unit 2). Different ways in which information can create value for organisations:. Customers and markets. Add value. Organisation A. Organisation B. Reduce cost. Manage risks. Transactions and processes.

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Assuming the Role of the Systems Analyst

Assuming the Role of the Systems Analyst. 1. Systems Analysis and Design, 7e Kendall & Kendall. Learning Objectives. Recall the basic types of computer-based systems that a systems analyst needs to address

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Assuming the Role of the Systems Analyst

Assuming the Role of the Systems Analyst. 1. Systems Analysis and Design, 7e Kendall & Kendall. Learning Objectives. Recall the basic types of computer-based systems that a systems analyst needs to address

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Expert Systems

Expert Systems. Dr. Samy Abu Nasser. Introduction CLIPS Overview Concepts, Notation, Usage Knowledge Representation Semantic Nets, Frames, Logic Reasoning and Inference Predicate Logic, Inference Methods, Resolution Reasoning with Uncertainty Probability, Bayesian Decision Making.

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CPE/CSC 481: Knowledge-Based Systems

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NETWORKING SYSTEM AND APLICATION

NETWORKING SYSTEM AND APLICATION. By : Boy S. Sabarguna, MD, MHA, PhD 2013. ISI. Data Warehouse Networking Wireless Business Significant E-Commerce Master Plan. 1. DATA WAREHOUSE. 2. NETWORKING. 3. WIRELESS. 4. BUSSINESS SIGNIFICANT. 5. E-COMMERCE. 6. MASTER PLAN. DATA. PROCESS.

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CPE/CSC 481: Knowledge-Based Systems

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What is ITS Decision?

Promoting ITS Deployment via ITS Decision Website www.calccit.org/itsdecision Jeff X. Ban, Polina Mikkelsen, Marika Benko, Hamed Benouar California Center for Innovative Transportation, UC-Berkeley Mohamed Alkadri DRI, Caltrans. What is ITS Decision?.

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??? ??? (Expert Systems) (Lecture Note #15)

Modified from the slides by SciTech Media. ??? ??? (Expert Systems) (Lecture Note #15). ???? 2002 ? 2 ?? ??? ????? ??????. Outline. Expert Systems ??? ???? ?? Basic Components of Expert Systems Expert System Building Tool Convectional Program vs. Expert Systems Application Areas

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??? ??? (Expert Systems)

??? ??? (Expert Systems). ??? ??? ???? ?? ??? ???? ??? ???? ???? ??? ??? ?? ?? ???? ? ??? ?? ???? ?? ??? ??? ?? ???? ???? ??? ??? ???? ???? ????? ??? ??? ?? ??? ???? ??? ?? ?? ?? ??? - ??? ?? ????? ?? ??? ?? ??? ??? (Justification) ?? ?? (Modular architecture). ??? ???? ??. high.

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Expert Systems

Expert Systems. An expert system is a computer program that is designed to hold the accumulated knowledge of one or more domain experts. What is an ES?. Expert System (ES) is a branch of Artificial Intelligence that attempt to mimic human experts.

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