Generalized net model of adjoint neural networks.
Generalized net model of adjoint neural networks.
Summary: We remind the concept of adjoint multilayer neural networks, which gives possibility obtain a gradient based learning algorithms formulae, in a direct way. Next, we construct the generalized net model of the adjoint neural networks for the backpropagation learning algorithm.
Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.), Learning and adaptive systems in artificial intelligence, Deterministic network models in operations research, Neural networks for/in biological studies, artificial life and related topics, backpropagation learning algorithm
Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.), Learning and adaptive systems in artificial intelligence, Deterministic network models in operations research, Neural networks for/in biological studies, artificial life and related topics, backpropagation learning algorithm