Amanote Research

Amanote Research

    RegisterSign In

Efficient On-Line Training of Multilayer Neural Controllers

Transactions of the Society of Instrument and Control Engineers
doi 10.9746/sicetr1965.29.272
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 1993

Authors
Julio TANOMARUSigeru OMATU
Publisher

The Society of Instrument and Control Engineers


Related search

An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks

PLoS ONE
Multidisciplinary
2016English

Matrix-Update for Accelerated On-Line Learning in Multilayer Neural Networks

Journal of Physics A: Mathematical and General
1998English

Designing Methods of Robust Controllers Against Stochastic Uncertainties by Training Neural Network

Transactions of the Society of Instrument and Control Engineers
2006English

Efficient and Self-Adaptive In-Situ Learning in Multilayer Memristor Neural Networks

Nature Communications
AstronomyGeneticsMolecular BiologyBiochemistryChemistryPhysics
2018English

Face Recognition Based on Perceived Facial Images and Multilayer Perceptron Neural Network Using Constructive Training Algorithm

IET Computer Vision
Computer VisionPattern RecognitionSoftware
2014English

Neural Network Time Series Prediction Based on Multilayer Perceptron

Development Management
2019English

Multilayer Sparse LSM = Deep Neural Network

2019English

Evolutionary Optimization of On-Line Multilayer Perceptron for Similarity-Based Access Control

2017English

Prediction Control of Biomass Combustion Boiler Based on Multilayer Perceptron Neural Network

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy