Artificial neural network resistance to incomplete data

被引：0

作者：

Tkacz, Magdalena Alicja ^{[1
]}

机构：

[1] Univ Silesia, Inst Comp Sci, PL-41200 Sosnowiec, Poland

来源：

Intelligent Information Processing and Web Mining, Proceedings | 2006年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents results obtained in experiments related to artificial neural networks. Artificial neural networks have been trained with delta-bar-delta and conjugate gradient algorithms in case of removing some data from dataset and fulfilling empty places with mean. The goal of the experiment was to observe how long will neural network (trained with specific algorithm) be able to learn when dataset will be consistently less and less exact-the number of incomplete data is increased.

引用

页码：437 / 443

页数：7

共 50 条

[41] Gradient-based FCM and a neural network for clustering of incomplete data
Park, DC
ADVANCES IN NATURAL COMPUTATION, PT 1, PROCEEDINGS, 2005, 3610 : 1266 - 1269
[42] Arduino data-logger and artificial neural network to data analysis
Contreras Contreras, G. F.
Dulce-Moreno, H. J.
Ardila Melo, R.
5TH INTERNATIONAL MEETING FOR RESEARCHERS IN MATERIALS AND PLASMA TECHNOLOGY (5TH IMRMPT), 2019, 1386
[43] A data clustering algorithm for stratified data partitioning in artificial neural network
Sahoo, Ajit K.
Zuo, Ming J.
Tiwari, M. K.
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (08) : 7004 - 7014
[44] Tracking-removed neural network with graph information for classification of incomplete data
Lai, Xiaochen
Zhang, Zheng
Chen, Hui
Zhang, Liyong
Li, Zhuohan
Lu, Wei
APPLIED INTELLIGENCE, 2025, 55 (03)
[45] Tectonic discrimination and application based on convolution neural network and incomplete big data
Ge, Can
Huo, Jinjing
Gu, Hai-Ou
Wang, Fangyue
Sun, He
Li, Xiuyu
Li, Weiwei
Yuan, Feng
JOURNAL OF GEOCHEMICAL EXPLORATION, 2021, 220
[46] Incomplete big data imputation mining algorithm based on BP neural network
Liu, Yutang
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 37 (04) : 4457 - 4466
[47] A NEURAL-NETWORK FIT TO ICEBREAKER RESISTANCE DATA
HINCHEY, M
JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 1994, 116 (04): : 252 - 254
[48] Survival Analysis Using Neural Network Hazard Model with Incomplete Covariate Data
Yu, Yi
Ma, Lin
Sun, Yong
Gu, Yuan-Tong
2011 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2011, : 233 - 236
[49] Enhance data availability and network consistency using artificial neural network for IoT
Mujahid Tabassum
Sundresan Perumal
Saad Bin Abdul Kashem
Suresh Ponnan
Chinmay Chakraborty
Muhammad E. H. Chowdhury
Amith Khandakar
Multimedia Tools and Applications, 2024, 83 : 3111 - 3131
[50] Artificial Neural Network for Multivariate Nonlinear Calibration of Fluorimetric Data
Liu, P.
Liang, Y.-Z.
Wang, S.-G.
Song, X.-H.
Huaxue Xuebao/Journal of Chemistry, 55 (04):

← 1 2 3 4 5 →