A constructive algorithm to solve "Convex Recursive Deletion" (CoRD) classification problems via two-layer perceptron networks

A sufficient condition that a region be classifiable by a two-layer feedforward neural net (a two-layer perceptron) using threshold activation functions is that either it be a convex polytope or that intersected with the complement of a convex polytope in its interior, or that intersected with the c...

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Detalles Bibliográficos
Autores principales: Cabrelli, C., Molter, U., Shonkwiler, R.
Formato: JOUR
Materias:
Convex recursive deletion region
Neural network
Two-layer perceptron
Algorithms
Backpropagation
Computational geometry
Matrix algebra
Multilayer neural networks
Optimization
Theorem proving
Vectors
Two layer perceptron
Feedforward neural networks
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_10459227_v11_n3_p811_Cabrelli
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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