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In this project, a new intelligent based methodology employing neuro- fuzzy soft computing technique is proposed.
The simplex particle swarm optimization (Simplex-PSO) is a swarm intelligent based evolutionary computation method.
This paper presents a new artificial intelligent based neuro-fuzzy rule base adaptive median filter for removing highly impulse noise.
This reduction plays a major role in preventing the redundancy effect that can occur when using several features in an intelligent based monitoring system.
Preliminary studies in this work have shown that intelligent based approaches provide efficient cost effective ways of optimising the performance of a lathe cutting tool.
Especially in artificial intelligent based methods where a training set is provided to e.g. the neural net or support vector machine algorithms often just add such a holiday dummy.
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In addition the need for the new intelligent feature selection also called Intelligent Rule based Attribute Selection algorithm has been highlighted based on experimental results.
Intelligent base running.
He's a very intelligent base runner, and he'll sneak up on teams in the American League.
Next, for the products identified as 'predictable' we apply an intelligent base predictor, while for 'random' we use a moving average.
It is also shown that intelligent base station selection can support much higher levels of traffic loading at a given voice call blocking rate compared to an arbitrary base station assignment.
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