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Using neural networks to handle intractability problems and solve complex computation equations is becoming common practices in academia and industry. It has been shown that, although complicated, these problems can be formulated as a set of equations and the key is to find the zeros of them. Zeroing neural networks (ZNN), as a class of neural networks particularly dedicated to find zeros of equations,...
Intelligent human–robot interaction is an interesting and challenging research topic both in areas of computational intelligence and robot control. In this paper we propose a novel adaptive and incremental image semantics learning framework based on the specific application platform of social robot. This endows the robot with the ability to learn to recognize new images based on previous human–robot...
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