Neural Information Processing [electronic resource] : 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part IV / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li.

Colaborador(es): Luo, Biao [editor.] | Cheng, Long [editor.] | Wu, Zheng-Guang [editor.] | Li, Hongyi [editor.] | Li, Chaojie [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 14450Editor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XX, 577 p. 213 illus., 208 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819980703Tema(s): Pattern recognition systems | Data mining | Machine learning | Social sciences -- Data processing | Automated Pattern Recognition | Data Mining and Knowledge Discovery | Machine Learning | Computer Application in Social and Behavioral SciencesFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.4 Clasificación LoC:Q337.5TK7882.P3Recursos en línea: Libro electrónicoTexto En: Springer Nature eBookResumen: The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. .
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The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. .

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