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- W1973644467 abstract "Abstract We consider the categorization problem in a Hopfield network with a finite number of concepts and trained with s examples of weight λτ, τ=1,…,s. We find that the retrieval capacity of an example with weight λ1, and the corresponding categorization error, depends also on the arithmetic mean λ m =(1/(s−1))∑ τ=2 s λ τ of the other weights. For λ1/λm 1 we find that the line of first-order transitions between the retrieval and categorization phases ends at a critical point in the s, T plane. When two solutions are present, the global minimum of the free energy corresponds to the solution with the highest weight." @default.
- W1973644467 created "2016-06-24" @default.
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- W1973644467 date "1999-06-01" @default.
- W1973644467 modified "2023-09-30" @default.
- W1973644467 title "Categorization in a Hopfield network trained with weighted examples. (I). Finite number of concepts" @default.
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- W1973644467 doi "https://doi.org/10.1016/s0378-4371(99)00043-6" @default.
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