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backward chaining वाक्य

"backward chaining" हिंदी मेंbackward chaining in a sentence
उदाहरण वाक्यमोबाइल
  • Backward chaining is implemented in logic programming by SLD resolution.
  • The backward chaining approach is often employed by expert systems.
  • In addition, some rules engines support backward chaining.
  • Backward chaining is a bit less straight forward.
  • This could be especially powerful with backward chaining.
  • Both forward and backward chaining inference is available.
  • There are mainly two modes for an inference engine : forward chaining and backward chaining.
  • Backward chaining systems usually employ a depth-first search strategy, e . g.
  • In backward chaining the engine looks for antecedents that can satisfy one of the current goals.
  • Programming languages such as Prolog, Knowledge Machine and ECLiPSe support backward chaining within their inference engines.
  • The most common forms of chaining are backward chaining, forward chaining, and total task presentation.
  • However, in backward chaining a common technique was to integrate the inference engine with a user interface.
  • Prolog focused primarily on backward chaining and also featured various commercial versions and optimizations for efficiency and robustness.
  • In backward chaining the system looks at possible conclusions and works backward to see if they might be true.
  • Backward chaining alone can account for the most extreme changes in benchmarks relating to Rete vs . Rete II.
  • This approach is often easier to implement and maintain, and provides performance advantages over forward or backward chaining systems.
  • In Backward Chaining the system would be given a goal, e . g . answer the question is Socrates Mortal?
  • Because the data determines which rules are selected and used, this method is called goal-driven backward chaining inference.
  • One of the most powerful and well known was the 1983 Knowledge Engineering Environment ( KEE ) from forward and backward chaining.
  • Specific conclusions from a set of given facts in a knowledge base, e . g . forward chaining versus backward chaining.
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