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Enterprise innovation evaluation method based on swarm optimization algorithm and artificial neural network.

, , , and . Neural Comput. Appl., 35 (36): 25143-25156 (December 2023)

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Enterprise innovation evaluation method based on swarm optimization algorithm and artificial neural network., , , and . Neural Comput. Appl., 35 (36): 25143-25156 (December 2023)Hierarchical RNN for Few-Shot Information Extraction Learning., , and . ICPCSEE (2), volume 902 of Communications in Computer and Information Science, page 227-239. Springer, (2018)Deep active learning for object detection., , , , and . Inf. Sci., (2021)Towards a Service Pattern Model Supporting Quantitative Economic Analysis., , , , , and . SERVICES, page 95-102. IEEE Computer Society, (2014)Instance segmentation algorithm for sorting dismantling components of end-of-life vehicles., , , , , and . Eng. Appl. Artif. Intell., (2024)Run JTA in JTang: Modeling in Artifact-Centric Model and Running in Activity-Centric Environment., , , and . AP-BPM, volume 219 of Lecture Notes in Business Information Processing, page 83-97. Springer, (2015)Building Façade Color Distribution, Color Harmony and Diversity in Relation to Street Functions: Using Street View Images and Deep Learning., , , and . ISPRS Int. J. Geo Inf., 12 (5): 224 (May 2023)A novel severity calibration algorithm for defect detection by constructing maps., , , , and . Inf. Sci., (2022)TireNet: A high recall rate method for practical application of tire defect type classification., , , and . Future Gener. Comput. Syst., (2021)Hierarchical RNN Networks for Structured Semantic Web API Model Learning and Extraction., , , , and . ICWS, page 708-713. IEEE, (2017)