Testing the applicability of artificial intelligence techniques to the subject of erythemal ultraviolet solar radiation part one: The applicability of a fuzzy rule based approach

2008 ◽  
Vol 90 (2) ◽  
pp. 95-104 ◽  
Author(s):  
A.M. Riad ◽  
Hamdy K. Elminir ◽  
Hala S. Own ◽  
Yosry A. Azzam
Keyword(s):  
Artificial Intelligence ◽  
Solar Radiation ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Artificial Intelligence Techniques ◽  
The Subject ◽  
Rule Based Approach ◽  
Ultraviolet Solar Radiation

Log analysis systems incorporating artificial intelligence techniques ? some examples

1989 ◽  
Vol 20 (2) ◽  
pp. 331 ◽  
Author(s):  
P.L. Baker
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Log Analysis ◽  
Rule Based ◽  
Artificial Intelligence Techniques ◽  
Lithology Identification ◽  
Well Correlation ◽  
Log Interpretation ◽  
Rule Based Approach ◽  
Mineral Identification

Artificial Intelligence (Al) systems have been used with some success in the areas of dipmeter interpretation, quantitative log interpretation and well-to-well correlation. A prototype expert system has been developed using a rule-based approach to lithology identification. Extensions of the system are now being considered to do mineral identification for the problem of mineral model construction for multi-mineral log interpretation algorithms.

MRI Brain Tumor Image Analysis Using Fuzzy Rule based Approach

2019 ◽  
Vol 50 (2) ◽  
pp. 98-112 ◽  
Author(s):  
KALYAN KUMAR JENA ◽  
SASMITA MISHRA ◽  
SAROJANANDA MISHRA ◽  
SOURAV KUMAR BHOI ◽  
SOUMYA RANJAN NAYAK
Keyword(s):  
Image Analysis ◽  
Brain Tumor ◽  
Fuzzy Rule ◽  
Rule Based ◽  
Mri Brain ◽  
Rule Based Approach

Modern Approaches to Software Engineering in the Compositional Era

2011 ◽  
pp. 1-20
Author(s):  
Ali Dogru ◽  
Pinar Senkul ◽  
Ozgur Kaya
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Software Development ◽  
Fault Management ◽  
Management Systems ◽  
Rule Based ◽  
Rule Based Approach ◽  
Computational Element ◽  
Do So

The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the fast advancement in hardware partially enabled an appreciation for software potency. This meant that engineers had to have a better command over this field that was crucial in the solution of current and future problems and requirements. However, software development has been reported as not adequate, or mature enough. Intelligence can help closing this gap. This chapter introduces the historical and modern aspects of software engineering within the artificial intelligence perspective. Also an illustrative example is included that demonstrates a rule-based approach for the development of fault management systems.

Modern Approaches to Software Engineering in the Compositional Era

2012 ◽  
pp. 1903-1923
Author(s):  
Ali Dogru ◽  
Pinar Senkul ◽  
Ozgur Kaya
Keyword(s):  
Artificial Intelligence ◽  
Software Engineering ◽  
Software Development ◽  
Fault Management ◽  
Management Systems ◽  
Rule Based ◽  
Rule Based Approach ◽  
Computational Element ◽  
Do So

The amazing evolution fuelled by the introduction of the computational element has already changed our lives and continues to do so. Initially, the fast advancement in hardware partially enabled an appreciation for software potency. This meant that engineers had to have a better command over this field that was crucial in the solution of current and future problems and requirements. However, software development has been reported as not adequate, or mature enough. Intelligence can help closing this gap. This chapter introduces the historical and modern aspects of software engineering within the artificial intelligence perspective. Also an illustrative example is included that demonstrates a rule-based approach for the development of fault management systems.

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