An Easy-to-Understand Expert System for the Prediction of Direct, Diffuse and Global Solar Radiations in Indian Region

Network switching and voltage evaluation using an expert system in ac railway systems

IEE Proceedings B Electric Power Applications ◽

10.1049/ip-b.1992.0001 ◽

1992 ◽

Vol 139 (1) ◽

pp. 1 ◽

Cited By ~ 3

Author(s):

C.S. Chang ◽

T.T. Chan ◽

K.K. Lee

Keyword(s):

Expert System ◽

Railway Systems

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Automated acquisition of knowledge for an expert system for process control

IEE Proceedings E Computers and Digital Techniques ◽

10.1049/ip-e.1989.0075 ◽

1989 ◽

Vol 136 (6) ◽

pp. 548

Author(s):

D.H. Walburn ◽

E.T. Powner

Keyword(s):

Expert System ◽

Process Control

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ESPNET: expert-system-based simulator of Petri nets

IEE Proceedings D Control Theory and Applications ◽

10.1049/ip-d.1988.0033 ◽

1988 ◽

Vol 135 (4) ◽

pp. 239 ◽

Cited By ~ 12

Author(s):

J. Duggan ◽

J. Browne

Keyword(s):

Expert System ◽

Petri Nets

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Diagnosing faults in a telecommunications network by an expert system

IEE Proceedings I Communications Speech and Vision ◽

10.1049/ip-i-2.1990.0038 ◽

1990 ◽

Vol 137 (5) ◽

pp. 273 ◽

Cited By ~ 1

Author(s):

R.J. Allwood ◽

C.N. Cooper ◽

A. Taylor

Keyword(s):

Expert System ◽

Telecommunications Network

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An expert system for FMS control

Intelligent Systems Engineering ◽

10.1049/ise.1993.0019 ◽

1993 ◽

Vol 2 (4) ◽

pp. 223 ◽

Cited By ~ 2

Author(s):

Wang Chengen ◽

Zhu Jianying ◽

Wei Zhongxin

Keyword(s):

Expert System

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HAZARD: An Expert System for Risk Assessment of Environmental Chemicals

Methods of Information in Medicine ◽

10.1055/s-0038-1635482 ◽

1987 ◽

Vol 26 (01) ◽

pp. 13-23 ◽

Cited By ~ 2

Author(s):

H. W. Gottinger

Keyword(s):

Expert System ◽

Structural Information ◽

Chemical Carcinogenesis ◽

Structural Features ◽

Environmental Chemicals ◽

Chemical Carcinogens ◽

Carcinogenic Activity ◽

Current State ◽

Structure Activity ◽

Carcinogenic Potential

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).

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91. A Computerized Expert System to Guide VDT Users Through Workstation Adjustment

10.3320/1.2765600 ◽

1999 ◽

Author(s):

N.L. Lester

Keyword(s):

Expert System

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ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM

Jurnal Pilar Nusa Mandiri ◽

10.33480/pilar.v16i1.1174 ◽

2020 ◽

Vol 16 (1) ◽

pp. 25-32

Author(s):

Basiroh Basiroh ◽

Wiji Lestari

Keyword(s):

Expert System ◽

Early Diagnosis ◽

General Public ◽

Insect Pests ◽

Fruit Rot ◽

Proper Treatment ◽

Harvest Time ◽

Production Rules

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts. The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.

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