Analysis &Survey on Fault Tolerance in Radial Basis Function Networks

被引：0

作者：

Martolia, Richa ^{[1
]}

Jain, Amit ^{[2
]}

Singla, Laxya ^{[3
]}

机构：

[1] Natl Inst Technol, MCA Dept, Kurukshetra, Haryana, India

[2] Panchkula Engn Coll, CSE Dept, Panchkula, India

[3] GCET, Greater Noida, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA) | 2015年

关键词：

Fault Tolerant Learning; Artificial Neural Network; Weight Faults; Radial Basis Function Networks; Regularization theory; Node Faults;

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：

Conventional learning theory's failure in training Neural Network to provide acceptable levels of generalization on the occurrences of fault in network has lead to the advent of Fault Tolerant Learning. Radial Basis Function networks are assumed to have in built Fault Tolerance capabilities. With this paper our attempt is to bring forth a detailed and time ordered survey of the literature available on Fault Tolerance in RBF networks. Methods, algorithms, measures for dealing with faults in RBF networks will be reported and analyzed. Future work along with directions is also presented.

引用

页码：469 / 473

页数：5

共 50 条

[1] Sensitivity analysis of radial basis function networks for fault tolerance purposes
Parra, X
Català, A
[J]. FOUNDATIONS AND TOOLS FOR NEURAL MODELING, PROCEEDINGS, VOL I, 1999, 1606 : 566 - 572
[2] Fault tolerance parameter model of radial basis function networks
Mallofre, AC
Llanas, XP
[J]. ICNN - 1996 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS. 1-4, 1996, : 1384 - 1389
[3] Fault tolerance in the learning algorithm of radial basis function networks
Parra, X
Català, A
[J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL III, 2000, : 527 - 532
[4] Fault tolerance comparison of IDS models with multilayer perceptron and radial basis function networks
Murakami, Masayuki
Honda, Nakaji
[J]. 2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 1079 - 1084
[5] Radial basis function networks for analog circuit fault isolation
Babu, NSC
Prasad, VC
[J]. JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 1997, 7 (06) : 643 - 655
[6] Modeling Marine Electromagnetic Survey with Radial Basis Function Networks
Arif, Agus
Asirvadam, Vijanth S.
Karsiti, M. N.
[J]. JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2011, 5 (02) : 141 - 156
[7] Enhancing fault tolerance of radial basis functions
Eickhoff, Ralf
Ruckert, Ulrich
[J]. 2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 5066 - 5073
[8] Applying Radial Basis Function Networks to Fault Diagnosis of Motorized Spindle
Li, Zhe
Wang, Kesheng
Yang, Jinghui
Stefanov, Yavor
[J]. Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation, 2016, 24 : 237 - 240
[9] Random vibration analysis with radial basis function neural networks
Xi Wang
Jun Jiang
Ling Hong
Jian-Qiao Sun
[J]. International Journal of Dynamics and Control, 2022, 10 : 1385 - 1394
[10] Analysis of decision boundaries of radial basis function neural networks
Jung, E
Lee, C
[J]. ALGORITHMS AND SYSTEMS FOR OPTICAL INFORMATION PROCESSING IV, 2000, 4113 : 134 - 142

← 1 2 3 4 5 →