Dayal Parhi

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In recent years intelligent soft computing techniques such as fuzzy inference system (FIS), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) are proven to be efficient and suitable when applied to a variety of systems. In this paper we intend to formulate an adaptive neuro-fuzzy inference system (ANFIS), a new sensor based(More)
Since ground control operation is an ‘imprecise’ area of engineering due to the fact that we are dealing with a material produced by nature (the ground). In many circumstances, our fundamental understanding of soil and rock behavior still falls short of being able to predict how the ground will behave. Cause-wise analysis of mine accidents reveals that roof(More)
The hallmark of this paper describes Adaptive Neurofuzzy (ANFIS) based navigation for an autonomous mobile robot in a real world cluttered environment. ANFIS has the advantage of both expert knowledge of the fuzzy inference system and the supervised learning capability of artificial neural networks. In this architecture the front obstacle distance (FOD),(More)
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