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2results about How to "Solve choice problems" patented technology

Manuscript generation method and device, equipment and storage medium

PendingCN121960420AGet usage characteristicsImprove recommendation accuracyNatural language data processingKnowledge based modelsFeature vectorPersonalization
The invention relates to the technical field of text processing, and discloses a manuscript generation method and device, equipment and a storage medium. The method comprises the following steps: constructing a template library containing a plurality of template frames and a knowledge base containing a plurality of domain knowledge bases; obtaining use features of a user and each template frame, receiving a free prompt input by the user, and constructing a task feature vector; matching a target template frame based on the first sorting model, and generating a task instruction based on a standard prompt word of the target template frame; if the matching target template frame does not exist, generating a task instruction based on the free prompt word; matching a target knowledge fragment from the knowledge base based on a second sorting model; and forming a large model generation manuscript called by a generation instruction in combination with the target knowledge fragment and the task instruction, correcting the manuscript in response to interaction between a user and the manuscript until a finalized manuscript is generated, and collecting interaction data to perform quality evaluation on the finalized manuscript. According to the method, high-quality, personalized and automatic generation of the manuscripts in the specific field is realized.
Owner:CSC FINANCIAL CO LTD

A method for evaluating the performance recovery of an electrolysis system after a Pulsing operation.

This invention discloses a method for evaluating the performance recovery of an electrolysis system after a pulsing operation. The method includes the following steps: Step 1: Collecting electrolysis system performance data for a baseline period before pulsing, the pulsing period, and the recovery evaluation period after pulsing; Step 2: Preprocessing the collected data; Step 3: Based on the preprocessed data from Step 2, fitting a natural decay trend within the baseline period before pulsing and extrapolating to obtain a non-interventional prediction curve; Step 4: Calculating four evaluation indicators within the recovery evaluation period after pulsing: recovery amount, recovery stability, improvement in decay slope, and recovery sustainability. The evaluation results can be used for selecting / recommending pulsing parameter combinations to achieve performance recovery and lifespan extension under energy consumption constraints.
Owner:TIANJIN FEYNMAN POWER TECHNOLOGY CO LTD