The demand analysis of English vocabulary of computer-assisted learning system is designed based on
associative memory method.
We believe that the STAMN can serve as a starting point for integrating the
associative memory networks with the POMDP problem.
Associative memory is a component of episodic memory, she added.
Delayed-onset amnesia caused by protein synthesis inhibition in odor-taste
associative memory of the terrestrial slug Limax valentianus.
The model of bidirectional
associative memory presented in this paper is based on the Alpha-Beta associative memories [14], is not an iterative process, and does not present stability problems.
This one-trial
associative memory approach to learning is a critical competency of
associative memory approaches.
Associative memory would link, for example, Rome with Italy or swallows with Capistrano.
As a founding member and senior architect at SwitchOn Networks (acquired by PMC-Sierra in '00), he developed algorithms for
associative memory and deep packet classification.
Associative memory utilizes the connections between remembered object and objective reality, between the known and the unknown, and between all parts of the learnt material.
On the one hand, neurophysiological work suggests that increased synchrony strengthens synaptic connections and thus forms the basis for
associative memory.
Among specific topics are an optimizing strategy for minimizing jerk during power-off upshift of a dry dual-clutch transmission, partner selection of industrial cluster enterprises based on complementary knowledge, a comparative study on
associative memory algorithm performance based on a monolayer feedback network, the spatiotemporal evolution and driving forces of agricultural land use structure in China, measuring the exchange rate risk and the allocation of economic capital in a Chinese commercial bank, and benefits of software defined networking for smart grid applications.
They cover the Hopfield model, a network counting chimes,
associative memory networks at low rates, towards networks of spiking neurons, the Miyashita correlations, learning in networks with discrete synapses, the Behavioral and Brain Science review, dynamics of networks of spiking neurons, electronic implementations, prospective activity, multi-item working memory, learning with spike-driven plastic synapses, and familiarity recognition.
