Optimal feed-forward neural networks based on the combination of constructing and pruning by genetic algorithms

被引：4

作者：

Wang, WJ ^{[1
]}

Lu, WZ ^{[1
]}

Leung, AYT ^{[1
]}

Lo, SM ^{[1
]}

Xu, ZB ^{[1
]}

Wang, XK ^{[1
]}

机构：

[1] Xian Jiaotong Univ, Fac Sci, Inst Informat, Xian 710049, Peoples R China

来源：

PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年

关键词：

D O I：

10.1109/IJCNN.2002.1005546

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The determination of the proper size of an artificial neural network (ANN) is recognized to be crucial, especially for its practical implementation in important issues such as learning and generalization. In this paper, an effective designing method of neural network architectures Is presented. The network is firstly trained by a dynamic constructive method until the error is satisfied. The trained network is then pruned by genetic algorithm (GA). The simulation results demonstrate the advantages in generalization and expandability of the proposed method.

引用

页码：636 / 641

页数：2

共 50 条

[21] Network Traffic Prediction Based on Feed-forward Neural Network with PLS Pruning Algorithm
Li Zhenxing
Meng Qinghai
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS (AMEII 2016), 2016, 73 : 1006 - 1010
[22] Hybridization of the probabilistic neural networks with feed-forward neural networks for forecasting
Khashei, Mehdi
Bijari, Mehdi
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2012, 25 (06) : 1277 - 1288
[23] Finding an Optimal Configuration of the Feed-forward Neural Network
Strba, Radoslav
Stolfa, Jakub
Stolfa, Svatopluk
INFORMATION MODELLING AND KNOWLEDGE BASES XXVII, 2016, 280 : 199 - 206
[24] Feed-forward neural networks based on self-extracted knowledge
Kim, H
PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES, 2003, : 1520 - 1523
[25] Feed-Forward Neural Networks Based on the Eigenstates of the Quantum Harmonic Oscillator
Rigatos, Gerasimos
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2006, 10 (04) : 567 - 577
[26] Implementation and analysis of training algorithms for the classification of infant cry with feed-forward neural networks
Orozco, J
Reyes-García, CA
2003 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING, PROCEEDINGS: FROM CLASSICAL MEASUREMENT TO COMPUTING WITH PERCEPTIONS, 2003, : 271 - 276
[27] An AQM Controller Based on Feed-Forward Neural Networks for Stable Internet
Sukant Kishoro Bisoy
Prasant Kumar Pattnaik
Arabian Journal for Science and Engineering, 2018, 43 : 3993 - 4004
[28] An AQM Controller Based on Feed-Forward Neural Networks for Stable Internet
Bisoy, Sukant Kishoro
Pattnaik, Prasant Kumar
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43 (08) : 3993 - 4004
[29] On the Duality Between Belief Networks and Feed-Forward Neural Networks
Baggenstoss, Paul M.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 30 (01) : 190 - 200
[30] Field Programmable Neural Array for Feed-Forward Neural Networks
Bohrn, Marek
Fujcik, Lukas
Vrba, Radimir
2013 36TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2013, : 727 - 731

← 1 2 3 4 5 →