relational operator - definition. What is relational operator
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ترجمة وتحليل الكلمات عن طريق الذكاء الاصطناعي ChatGPT

في هذه الصفحة يمكنك الحصول على تحليل مفصل لكلمة أو عبارة باستخدام أفضل تقنيات الذكاء الاصطناعي المتوفرة اليوم:

  • كيف يتم استخدام الكلمة في اللغة
  • تردد الكلمة
  • ما إذا كانت الكلمة تستخدم في كثير من الأحيان في اللغة المنطوقة أو المكتوبة
  • خيارات الترجمة إلى الروسية أو الإسبانية، على التوالي
  • أمثلة على استخدام الكلمة (عدة عبارات مع الترجمة)
  • أصل الكلمة

%ما هو (من)٪ 1 - تعريف


Relational operator         
PROGRAMMING LANGUAGE CONSTRUCT OR OPERATOR THAT TESTS OR DEFINES SOME KIND OF RELATION BETWEEN TWO ENTITIES
Test operator; !=; ==; Comparison operator; Equality operator; =!; ===; Does not equal; Comparison (computer programming); .EQ.; .GT.; .LT.; .GE.; .LE.; .NE.; Comparison relation; Relational expression; Relationship operator; Relational operators; Equality (computer programming); Inequality operator; Ifeq; Equality (relational operator); Comparison operators; Compare instruction; ⩵; ⩶; \ne; ~=; Ifexpr
In computer science, a relational operator is a programming language construct or operator that tests or defines some kind of relation between two entities. These include numerical equality (e.
Relational art         
TENDENCY IN FINE ART
Relational Aesthetics; Relational Esthetics; L'esthétique relationnelle; Relational Art; Esthétique relationnelle; Relation Aesthetics; Relation Art
Relational art or relational aesthetics is a mode or tendency in fine art practice originally observed and highlighted by French art critic Nicolas Bourriaud. Bourriaud defined the approach as "a set of artistic practices which take as their theoretical and practical point of departure the whole of human relations and their social context, rather than an independent and private space.
Statistical relational learning         
SUBDISCIPLINE OF ARTIFICIAL INTELLIGENCE
Probabilistic relational model; Relational probabilistic model
Statistical relational learning (SRL) is a subdiscipline of artificial intelligence and machine learning that is concerned with domain models that exhibit both uncertainty (which can be dealt with using statistical methods) and complex, relational structure.