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The micro-structure of a neural network is known to have great influence on its macro-dynamic behaviors. For sake of imitating the inherent characteristics of small-world property discovered in biological neural system and human intelligence of associative memory via integrating geometrical structure information, an efficient method for designing associative memory neural network with contextual small-world...
A novel sparsely connected associative memory model with adaptive topology through annealed dilution is proposed in this paper. Aimed at overcoming the disadvantage of quenched dilution as random synapses disconnection of the existing methods, this new model takes the ideology of annealed dilution into account, and investigates the optimal synaptic dilution strategy under the constraints of limited...
This paper uses back propagation (BP) neural network to modify manual observing system data to automatic observing system data in wind speed data. First, we prepare six factors which are wind speed data six hours ahead to one hour ahead as input data. The tests indict when these factors selected, the modify results are better than others. The training data used for the neural network is the data from...
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