Artificial intelligence techniques in power systems by Kevin Warwick, Arthur O. Ekwue, Raj Aggarwal

By Kevin Warwick, Arthur O. Ekwue, Raj Aggarwal

Examine in man made intelligence has constructed many suggestions and methodologies that may be tailored or used on to remedy advanced strength process difficulties

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1. Let Rn represent the new rule to be added to the rule base. Let R be the set of rules present in the rule base. 1. 2. 3. Form a minimum set of PWMEs to satisfy Rn. Let E be this set. Form an action set of the rule Rn. Let A be this set. An action set records the actions on the RHS of the rule. Thus it represents the changes to the PWM as a result of firing of this rule. Match the rule base R to the state of the PWM formed in step 1. Let S be the set of satisfied rules (conflict set). If the set S is empty then stop.

Thus it is important to ensure consistency of the rule base for each possible combination of WMEs. This can be achieved by analysing the rule base in a scenario independent (instantiation independent) manner. A new concept of pseudo working memory element (PWME) is introduced to allow such analysis. , the attribute can only assume a constant value. In contrast, an attribute in a PWME can assume values which represent a region in the attribute space. In other words, a PWME allows both constants and variables as values of its attributes.

A general relation checking algorithm developed at the University of Washington is described. A representation of rulebased systems in the attribute space is proposed. This representation is used to define several relations among rules. The relations defined are cause-effect, mutual exclusion, redundancy, conflict, subsumption and implication. e. e. the relation holds only for some instantiations of the rules. An algorithm to detect relations between a new rule (to be added to the rule base) and rules in the rule base is developed.

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