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Deep Neural Network Used as a Supervised Image Classifier with Noise Recognition


 

A deep neural network (DNN) is an artificial neural network (ANN) with multiple hidden layers of units between the input and output layers. Robot navigation means the robot's ability to determine its own position in its frame of reference and then to plan a path towards some goal location. In order to navigate in its environment, the robot or any other mobility device requires representation, i.e. a map of the environment and the ability to interpret that representation. Noise recognition using ecosystem which helps in identifying environmental disturbance. A mobile robot is an automatic machine that is capable of locomotion. Machine learning which is evolved using pattern recognition and computational learning theory in artificial intelligence.

Keywords

Computational Learning Theory, Locomotion, Noise Recognition, Pattern Recognition, Robot Navigation.
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  • Deep Neural Network Used as a Supervised Image Classifier with Noise Recognition

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Abstract


A deep neural network (DNN) is an artificial neural network (ANN) with multiple hidden layers of units between the input and output layers. Robot navigation means the robot's ability to determine its own position in its frame of reference and then to plan a path towards some goal location. In order to navigate in its environment, the robot or any other mobility device requires representation, i.e. a map of the environment and the ability to interpret that representation. Noise recognition using ecosystem which helps in identifying environmental disturbance. A mobile robot is an automatic machine that is capable of locomotion. Machine learning which is evolved using pattern recognition and computational learning theory in artificial intelligence.

Keywords


Computational Learning Theory, Locomotion, Noise Recognition, Pattern Recognition, Robot Navigation.