We have studied and developed the behavior of two specific neural processes, used for vehicle driving and path planning, in order to control mobile robots. Each processor is an independent agent defined by a neural network trained for a defined task. Through simulated evolution fully trained agents are encouraged to socialize. Our recent work proposes a deep ANN architecture which accomplishes the reliable visual classification of abnormal Papsmear cell. This paper describes a neural processor capable.

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