Amanote Research

Amanote Research

    RegisterSign In

A Note on the Complexity of Reliability in Neural Networks

IEEE Transactions on Neural Networks
doi 10.1109/72.165601
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 1992

Authors
P. BermanI. ParberryG. Schnitger
Publisher

Institute of Electrical and Electronics Engineers (IEEE)


Related search

A Note on Chaotic Behavior in Simple Neural Networks

Neural Networks
Artificial IntelligenceCognitive Neuroscience
1990English

Information Complexity of Neural Networks

Neural Networks
Artificial IntelligenceCognitive Neuroscience
2000English

On the Reduction of Computational Complexity of Deep Convolutional Neural Networks

Entropy
Electronic EngineeringInformation SystemsMathematical PhysicsElectricalAstronomyPhysics
2018English

A Note on the Identifiability of the Conditional Expectation for the Mixtures of Neural Networks

Statistics and Probability Letters
UncertaintyStatisticsProbability
2008English

Spike-Time Reliability of Layered Neural Oscillator Networks

2013English

Relationship Between Complexity and Precision of Convolutional Neural Networks

2017English

Monitoring Reliability of Sensors in an Array by Neural Networks

Sensors and Actuators, B: Chemical
SurfacesElectronic EngineeringAlloysCondensed Matter PhysicsInstrumentationMaterials ChemistryMetalsOpticalElectricalMagnetic MaterialsFilmsCoatingsElectronic
2000English

A Complexity Reliability Model

2009English

A Note on the Complexity of Classical and Intuitionistic Proofs

2015English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy