Intelligent assessment and transformation management system for scientific and technological achievements

By designing an intelligent evaluation and conversion management system for scientific and technological achievements, combined with DNN, RNN and XGBoost algorithms, the problem that existing systems are difficult to fully capture multi-dimensional features and time series information is solved, and efficient and intelligent evaluation and conversion management of scientific and technological achievements are achieved.

CN120197826AActive Publication Date: 2025-06-24SHENZHEN FUTURE IND CENTER CO LTD
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Patent Information

Application Number
CN202510283703.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-11
Publication Date
2025-06-24
Estimated Expiration
2045-03-11

AI Technical Summary

Technical Problem

The existing scientific and technological achievement evaluation and transformation systems are difficult to fully capture multi-dimensional characteristics and time series information, and the system has not yet formed a complete, efficient and intelligent management system in the design of data collection and processing, storage and backup, and the design of the results conversion modules, which cannot meet the needs of modern scientific and technological achievement evaluation and transformation.

Method used

An intelligent evaluation and conversion management system for scientific and technological achievements was designed, including basic database modules, data acquisition and processing modules, data storage and backup modules, data layer modules, service layer modules, application layer modules and user interface layer modules. The system adopts an intelligent evaluation module combining deep neural network (DNN), recurrent neural network (RNN) and gradient-enhanced decision tree (XGBoost), to improve the accuracy and efficiency of evaluation through a variety of algorithm models, and promote the commercialization of scientific and technological achievements through the achievement transformation module.

Benefits of technology

The comprehensive capture of multi-dimensional characteristics and time series information of scientific and technological achievements has been achieved, the accuracy and efficiency of evaluation have been improved, and a complete, efficient and intelligent management system has been formed, meeting the needs of modern scientific and technological achievements evaluation and transformation.

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Abstract

The invention discloses an intelligent assessment and transformation management system for scientific and technological achievements, and belongs to the technical field, and in the intelligent assessment and transformation management system, the combination of DNN and RNN provides powerful feature learning and representation capabilities for the system. The DNN can extract high-level features from complex data of scientific and technological achievements, and the RNN can capture a long-term dependency relationship in time sequence data. And meanwhile, the XGBoost model algorithm can utilize the features extracted by the DNN and the RNN and the original features, and through constructing a plurality of decision trees and carrying out gradient lifting, the accuracy and reliability of prediction are improved, the nonlinear relationship between the features is effectively processed, the model deviation is reduced, and the evaluation result of the scientific and technological achievements is more accurate. The combination of the three algorithms enables the advantages of each model to be complementary, and the deep feature extraction of the DNN, the time sequence processing capability of the RNN and the integrated learning mechanism of the XGBoost act together, so that the over-fitting risk can be effectively reduced. The diversity enables the model to have better generalization ability when facing unknown data.
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