找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Artificial Intelligence and Soft Computing; 21st International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2023

[复制链接]
楼主: aspirant
发表于 2025-3-26 21:00:14 | 显示全部楼层
Transfer Learning with Deep Neural Embeddings for Music Classification Tasksssification tasks with several datasets. The tasks include genre recognition, speech/music distinguishing, predominant instrument recognition and performer identification. We propose the usage of pre-trained . neural networks for feature extraction and apply several supervised classification algorit
发表于 2025-3-27 03:01:49 | 显示全部楼层
发表于 2025-3-27 06:41:28 | 显示全部楼层
BiLSTM Deep Learning Model for Heart Problems Detectionare many types of deep learning models, however the most important to fit architecture and training model to the input data. In this article we propose a model of deep learning based on architecture in which we use BiLSTM neural network. Proposed model is trained by using Adam algorithm. For the res
发表于 2025-3-27 11:21:35 | 显示全部楼层
发表于 2025-3-27 16:24:01 | 显示全部楼层
发表于 2025-3-27 17:58:42 | 显示全部楼层
发表于 2025-3-27 23:53:53 | 显示全部楼层
发表于 2025-3-28 02:23:33 | 显示全部楼层
发表于 2025-3-28 10:16:29 | 显示全部楼层
An Application of Information Granules to Detect Anomalies in COVID-19 Reportsschool education have changed. A significant part of worldwide business has migrated to the virtual world, and the global supply chains have been disrupted. On the other hand, this new situation created opportunities for a much faster development of some areas of business and science. For example, t
发表于 2025-3-28 14:12:35 | 显示全部楼层
Type-2 Fuzzy Classifier with Smooth Type-Reduction type-1 set. All accurate type reduction methods used to build fuzzy classifiers are based on the recursive Karnik-Mendel algorithm, which is troublesome to obtain a feedforward type-2 fuzzy network structure. Moreover, the KM algorithm and its modifications complicate the learning process due to th
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-8-5 15:54
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表