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: Applications and Science in Soft Computing; Ahamad Lotfi,Jonathan M. Garibaldi Conference proceedings 2004 Springer-Verlag Berlin Heidelbe

[复制链接]
楼主: Amalgam
发表于 2025-3-25 03:52:29 | 显示全部楼层
发表于 2025-3-25 07:31:55 | 显示全部楼层
发表于 2025-3-25 11:53:06 | 显示全部楼层
发表于 2025-3-25 16:22:03 | 显示全部楼层
https://doi.org/10.1007/978-3-476-03153-2r is based on the concatenation of speech units. We also use speech unit segmentation of a text for prosody modelling. The phonemes are the basic units in our neural network approach..GUHA method (General Unary Hypotheses Automaton) and a neural topology pruning process are applied for the choice of the most important input parameters.
发表于 2025-3-25 23:02:01 | 显示全部楼层
https://doi.org/10.1007/978-3-658-14022-9ata set with no naturally occurring clusters would merely . meaningless structure. The procedure that consists in examining a data set to determine if structure is actually present and thus determine if clustering is a worthwhile operation is a poorly investigated problem known as . determination [8].
发表于 2025-3-26 00:14:42 | 显示全部楼层
发表于 2025-3-26 05:54:37 | 显示全部楼层
发表于 2025-3-26 10:07:13 | 显示全部楼层
Optimisation of Neural Network Topology and Input Parameters for Prosody Modelling of Synthetic Speer is based on the concatenation of speech units. We also use speech unit segmentation of a text for prosody modelling. The phonemes are the basic units in our neural network approach..GUHA method (General Unary Hypotheses Automaton) and a neural topology pruning process are applied for the choice of the most important input parameters.
发表于 2025-3-26 14:46:02 | 显示全部楼层
Using ART1 Neural Networks to Determine Clustering Tendencyata set with no naturally occurring clusters would merely . meaningless structure. The procedure that consists in examining a data set to determine if structure is actually present and thus determine if clustering is a worthwhile operation is a poorly investigated problem known as . determination [8].
发表于 2025-3-26 17:09:16 | 显示全部楼层
Multistage Neural Networks: Adaptive Combination of Ensemble Results a combination function based on the results generated by the ensemble members from the first stage. A sample of the data sets from UCI Machine Learning Depository are modeled using multistage neural networks and a comparison of the performance between multistage neural networks and a majority voting scheme is conducted.
 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 SITEMAP 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.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-13 06:42
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