Two-level learning algorithm for multilayer neural networks

被引：1

作者：

Liu, CS ^{[1
]}

Tseng, CH ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Dept Mech Engn, Appl Optimum Design Lab, Hsinchu 30050, Taiwan

来源：

TENTH IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 1998年

关键词：

D O I：

10.1109/TAI.1998.744795

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A two-level learning algorithm that decomposes multilayer neural networks into a set of sub-networks is presented. A lot of popular optimization methods, such as conjugate-gradient and quasi-Neurton methods, cart be utilized to train these sub-networks. In addition, if the activation functions are hard-limiting functions, the multilayer neural networks can be trained by the perceptron learning rule in this two-level learning algorithm. Two experimental problems are given as examples for this algorithm.

引用

页码：97 / 102

页数：6

共 50 条

[21] Two-Level Scheduling Algorithm for Different Classes of Traffic in WiMAX Networks
Ahmed, Zeeshan
Hamma, Salima
2012 INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS (SPECTS), 2012,
[22] A Genetic Algorithm for the Two-level Location Area Planning in Telecommunication Networks
Abdelkhalek, Ons
Krichen, Saoussen
Guitouni, Adel
2013 5TH INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND APPLIED OPTIMIZATION (ICMSAO), 2013,
[23] IMPROVED LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS AND HANDWRITTEN NUMERAL RECOGNITION
YAMADA, K
NEC RESEARCH & DEVELOPMENT, 1990, (98): : 81 - 88
[24] THE OFFSET ALGORITHM - BUILDING AND LEARNING-METHOD FOR MULTILAYER NEURAL NETWORKS
MARTINEZ, D
ESTEVE, D
EUROPHYSICS LETTERS, 1992, 18 (2BIS): : 95 - 100
[25] Least square based constructive learning algorithm for multilayer neural networks
Li, Jianghong
Hu, Zhaowen
Changsha Dianli Xueyuan Xuebao/Journal of Changsha University of Electric Power, 1999, 14 (02): : 127 - 131
[26] LYAPUNOV THEORY BASED ADAPTIVE LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS
Acir, Nurettin
Menguc, Engin Cemal
NEURAL NETWORK WORLD, 2014, 24 (06) : 619 - 636
[27] Two-Level Graph Neural Network
Ai, Xing
Sun, Chengyu
Zhang, Zhihong
Hancock, Edwin R.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2024, 35 (04) : 4593 - 4606
[28] TwoResNet: Two-level resolution neural network for traffic forecasting on freeway networks
Li, Danya
Kwak, Semin
Geroliminis, Nikolas
2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 3963 - 3969
[29] Fast BATLLNN: Fast Box Analysis of Two-Level Lattice Neural Networks
Ferlez, James
Khedr, Haitham
Shoukry, Yasser
HSCC 2022: PROCEEDINGS OF THE 25TH ACM INTERNATIONAL CONFERENCE ON HYBRID SYSTEMS: COMPUTATION AND CONTROL (PART OF CPS-IOT WEEK 2022), 2022,
[30] Analysis and comparison of two-level KFAC methods for training deep neural networks
Koroko, Abdoulaye
Anciaux-Sedrakian, Ani
Ben Gharbia, Ibtihel
Gares, Valerie
Haddou, Mounir
Tran, Quang Huy
OPTIMIZATION METHODS & SOFTWARE, 2024,

← 1 2 3 4 5 →