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- W2058478729 abstract "A method is proposed for determining the states of the hidden units of feedforward neural networks for an arbitrary output function. The method uses a state space in which a state vector represents a set of states (input, inner, or output states) of a unit for many sample data. The subspace spanned by the state vectors, which include the vectors for the hidden units (internal representation), is orthogonal to its orthogonal complement. This orthogonality can be used for determining the unknown states of the hidden units. This method is thus called the Orthogonal Complement Method (OCM). The number of necessary hidden units can be estimated from the dimension of the subspace, and the connection weights can be obtained by solving simultaneous linear equations. The OCM will be useful for designing in binary output networks." @default.
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- W2058478729 date "1991-01-01" @default.
- W2058478729 modified "2023-09-25" @default.
- W2058478729 title "A method for designing the internal representation of neural networks and its application to network synthesis" @default.
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- W2058478729 doi "https://doi.org/10.1016/0893-6080(91)90061-9" @default.
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