Noise supplement learning algorithm for associative memories using multilayer perceptrons and sparsely interconnected neural networks

被引：0

作者：

Magori, Y ^{[1
]}

Kamio, T ^{[1
]}

Fujisaka, H ^{[1
]}

Morisue, M ^{[1
]}

机构：

[1] Hiroshima City Univ, Dept Informat Machines & Interfaces, Asaminami Ku, Hiroshima 7313194, Japan

来源：

PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003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：

At present, we have proposed associative memories using multilayer perceptrons, (MLP's) and sparsely interconnected neural networks (SINNs), named MLP-SINN, to improve SINNs without increasing their interconnections. MLP-SINN is more suitable for hardware implementation than SINN with a large number of interconnections. However, the capabilities of MLP and SINN are not effectively used in the conventional MLP-SINN, because they are synthesized independently. In this paper, we propose the noise supplement learning algorithm to improve MLP-SINN associative memories.

引用

页码：2534 / 2539

页数：6

共 50 条

[31] A Pascal program for the Kalman learning algorithm in multilayer neural networks
Huang, L
COMPUTERS & GEOSCIENCES, 1997, 23 (08) : 909 - 913
[32] Using a Multilayer Perceptrons Neural Network and Genetic Algorithm to Predict the NTD/USD Exchange Rate
Huang, Han-Chen
AUTOMATIC MANUFACTURING SYSTEMS II, PTS 1 AND 2, 2012, 542-543 : 1347 - 1352
[33] Control of associative chaotic neural networks using a reinforcement learning
Sato, N
Adachi, M
Kotani, M
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1, 2004, 3173 : 395 - 400
[34] ASSOCIATIVE LEARNING IN RANDOM-ENVIRONMENTS USING NEURAL NETWORKS
NARENDRA, KS
MUKHOPADHYAY, S
IEEE TRANSACTIONS ON NEURAL NETWORKS, 1991, 2 (01): : 20 - 31
[35] IMPROVED LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS AND HANDWRITTEN NUMERAL RECOGNITION
YAMADA, K
NEC RESEARCH & DEVELOPMENT, 1990, (98): : 81 - 88
[36] THE OFFSET ALGORITHM - BUILDING AND LEARNING-METHOD FOR MULTILAYER NEURAL NETWORKS
MARTINEZ, D
ESTEVE, D
EUROPHYSICS LETTERS, 1992, 18 (2BIS): : 95 - 100
[37] 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
[38] LYAPUNOV THEORY BASED ADAPTIVE LEARNING ALGORITHM FOR MULTILAYER NEURAL NETWORKS
Acir, Nurettin
Menguc, Engin Cemal
NEURAL NETWORK WORLD, 2014, 24 (06) : 619 - 636
[39] Learning and production of speech pattern using multilayer neural networks
Komura, Mitsuo, 1600, (22):
[40] Learning shape from focus using multilayer neural networks
Muhammad, A
Choi, TS
VISION GEOMETRY VIII, 1999, 3811 : 366 - 375

← 1 2 3 4 5 →