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115 results about "Long-term memory" patented technology

Long-term memory (LTM) is the stage of the Atkinson–Shiffrin memory model where informative knowledge is held indefinitely. It is defined in contrast to short-term and working memory, which persist for only about 18 to 30 seconds. Long-term memory is commonly labelled as explicit memory (declarative), as well as episodic memory, semantic memory, autobiographical memory, and implicit memory (procedural memory).

Method for determining lengths of upstream transition regions of construction operation area

The invention belongs to the technical field of road design, which relates to a method for determining lengths of upstream transition regions of a construction operation area. The method comprises the steps of: firstly, designing a driver SOAR (state, operator and result) intelligent agent working memory structure, secondly, designing initial long-term memory rules, and establishing a long-term memory rule base of driver SOAR intelligent agent, thirdly, establishing the decision-making period of the driver SOAR intelligent agent, fourthly, establishing a method for evaluating the road network traffic capacity through road network balance degree, and fifthly, setting lengths of different upstream transition regions and different road load coefficients to perform simulation, to obtain the road network balance degree data under lengths of different upstream transition regions of the construction operation area through simulation, and selecting simulation conditions with high balance degrees and good astringency, to obtain lengths of the appropriate upstream transition regions of the construction operation area under different traffic conditions. The method can accurately reflect the influence on the road construction traffic capacity by the lengths of the upstream transition regions of the construction operation area, thereby determining the lengths of the upstream transition regions of the construction operation area.
Owner:TIANJIN MUNICIPAL ENG DESIGN & RES INST

Device life prediction method based on multiple long/short-term memory network and experience bayesian

The invention discloses a device life prediction method based on multiple long/short-term memory network and experience bayesian, which belongs to the technical field of mechanical equipment state monitoring and life prediction. The method comprises the following steps: 1) a plurality of monitoring signals of the mechanical equipment are obtained, and the collected monitoring signals are preprocessed; 2) the monitoring signals are screened, and signals which can well reflect the degradation process of the mechanical equipment can be selected; 3) a plurality of long-term memory network models are constructed to realize multiple network synchronous training; 4) the signals collected by the sensors in real time are input into the multiple-length short-term memory network model, a plurality ofnetworks are subjected to parallel prediction, and a prediction result is obtained; 5) the probability distribution of the prediction result is estimated through an empirical bayesian algorithm, andthe most probable service life of the equipment is deduced. According to the invention, the remaining service life of the mechanical equipment can be accurately predicted in real time, so that the faults of the mechanical equipment can be sensed in advance, the safety, stability and long-period running of the mechanical equipment can be guaranteed.
Owner:HUAZHONG UNIV OF SCI & TECH
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