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- W29949987 abstract "Harmony Theory (HT) networks [1] are capable of solving constraint-satisfaction tasks in parallel via simulated annealing, whereas a global maximum (peak) of the internal-consistency landscape of the problem-space is found. Due to their capacity of directly encoding constraints, connectivity and the weight vector need not be formulated through a training phase but can be mathematically defined once the choice of representation (what part of the problem each network node and connection stands for) has been decided upon. This piece of research investigates the effect of the choice of representation and of the ensuing representation-dependent structure of a HT network on the internal-consistency landscape and subsequently on performance. This is of special interest in order to: (1) Establish how the landscape is “sculpted” by the choice of representation." @default.
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- W29949987 date "1993-01-01" @default.
- W29949987 modified "2023-10-03" @default.
- W29949987 title "The Relationship Between Choice Of Representation, Network Structure And Performance In Harmony Theory Networks" @default.
- W29949987 cites W63795936 @default.
- W29949987 doi "https://doi.org/10.1007/978-1-4471-2063-6_206" @default.
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