Geometric Bioinspired Networks for Recognition of 2-D and 3-D Low-Level Structures and Transformations.

This paper presents the design of radial basis function geometric bioinspired networks and their applications. Until now, the design of neural networks has been inspired by the biological models of neural networks but mostly using vector calculus and linear algebra. However, these designs have never shown the role of geometric computing. The question is how biological neural networks handle comple...