Development of expert systems for modeling of technological process of pressure casting on the basis of artificial intelligence

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

Download Full-text

Principles of induction and approaches to attribute based induction

The Knowledge Engineering Review ◽

10.1017/s0269888900005920 ◽

1991 ◽

Vol 6 (4) ◽

pp. 307-333 ◽

Cited By ~ 3

Author(s):

G. Kalkanis ◽

G. V. Conroy

Keyword(s):

Artificial Intelligence ◽

Pattern Recognition ◽

Cognitive Psychology ◽

Expert Systems ◽

Basic Principles ◽

Inductive Approach ◽

Induction Process

AbstractThis paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.

Download Full-text

Seven Things Every Trainer Must Know about Artificial Intelligence

Journal of Educational Technology Systems ◽

10.2190/463b-frk0-3qu1-y3ud ◽

1991 ◽

Vol 20 (2) ◽

pp. 153-156

Author(s):

Mahima Ranjan Kundu

Keyword(s):

Artificial Intelligence ◽

Expert Systems ◽

Business Management ◽

Human Mind ◽

Educational Programs ◽

Training Environment ◽

Training And Education ◽

Training Systems ◽

Potential Benefits

This article provides information about the prospects and limitations of the Artificial Intelligence and Expert Systems as they relate to training systems and educational programs. The article describes the potential benefits of expert systems and how it can be gainfully employed in training environment, industry, and business management to perform complex jobs. The limitations of the applications of the Artificial Intelligence are discussed as some tend to believe that human mind and computers think alike and AI machines can function like a real expert in every aspect of training and education.

Download Full-text

Reading up books: Artificial intelligence and expert systems: Academic guidelines and suggested reading in the field of artificial intelligence and its industrial arm — Expert systems

IEEE Potentials ◽

10.1109/mp.1986.6500802 ◽

1986 ◽

Vol 5 (3) ◽

pp. 16-18 ◽

Cited By ~ 1

Author(s):

A. Antonio Arroyo

Keyword(s):

Artificial Intelligence ◽

Expert Systems ◽

Predicting the Quality of MIS Characteristics and End-Users’ Perceptions Using Artificial Intelligence Tools: Expert Systems and Neural Network

Advances in Intelligent Systems and Computing - Intelligent Computing and Optimization ◽

10.1007/978-3-030-33585-4_3 ◽

2019 ◽

pp. 18-30

Author(s):

Kamal Mohammed Alhendawi ◽

Ala Aldeen Al-Janabi ◽

Jehad Badwan

Keyword(s):

Neural Network ◽

Artificial Intelligence ◽

Expert Systems ◽

End Users

Download Full-text

Artificial Intelligence, Expert Systems and Law

The Denning Law Journal ◽

10.5750/dlj.v5i1.196 ◽

2012 ◽

Vol 5 (1) ◽

pp. 105-116 ◽

Cited By ~ 2

Author(s):

Richard Susskind

Keyword(s):

Artificial Intelligence ◽

Expert Systems

Artificial Intelligence, Expert Systems and Law

Download Full-text

The Performance of Stock Portfolios formed using Fuzzy Logic

Financial Statistical Journal ◽

10.24294/fsj.v1i2.814 ◽

2018 ◽

Vol 1 (2) ◽

Author(s):

Amit K. Sinha 1 ◽

Andrew J. Jacob 2

Keyword(s):

Artificial Intelligence ◽

Fuzzy Logic ◽

Expert System ◽

Expert Systems ◽

Fuzzy Membership ◽

Thought Process ◽

Membership Functions ◽

Fuzzy Membership Functions ◽

Stock Portfolios ◽

Financial Securities

Expert systems, a type of artificial intelligence that replicate how experts think, can aide unskilled users in making decisions or apply an expert’s thought process to a sample much larger than could be examined by a human expert. In this paper, an expert system that ranks financial securities using fuzzy membership functions is developed and applied to form portfolios. Our results indicate that this approach to form stock portfolios can result in superior returns than the market as measured by the return on the S&P 500. These portfolios may also provide superior risk-adjusted returns when compared to the market.

Download Full-text