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Interpretable neural networks with BP-SOM
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-62858-4_87openalex-snapshot
NeuroLinear: A system for extracting oblique decision rules from neural networks
inferredcites →https://doi.org/10.1007/978-3-642-88163-3openalex-snapshot
Self-Organization and Associative Memory
inferredcites →https://doi.org/10.1007/bf02309010openalex-snapshot
The BP-SOM architecture and learning rule
inferredcites →https://doi.org/10.1016/0010-0277(90)90025-fopenalex-snapshot
How to built a connectionist idiot (savant)
inferredcites →https://doi.org/10.1016/0950-7051(96)81920-4openalex-snapshot
Survey and critique of techniques for extracting rules from trained artificial neural networks
inferredcites →https://doi.org/10.1080/09540099508915658openalex-snapshot
Measuring the Difficulty of Specific Learning Problems
inferredcites →https://doi.org/10.1080/095400997116621openalex-snapshot
Behavioural Aspects of Combining Backpropagation Learning and Self-organizing Maps
inferredcites →https://doi.org/10.13021/mars/3370openalex-snapshot
The MONK's problems: A Performance Comparison of Different Learning Algorithms
inferredcites →https://doi.org/10.21236/ada164453openalex-snapshot
Learning Internal Representations by Error Propagation
inferredcites →https://doi.org/10.7551/mitpress/5236.001.0001openalex-snapshot
Parallel Distributed Processing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00521-009-0263-1openalex-snapshot
The build of a dynamic classifier selection ICBP system and its application to pattern recognition
inferred← citeshttps://doi.org/10.1007/s10489-014-0605-2openalex-snapshot
Introducing randomness into greedy ensemble pruning algorithms
inferred← citeshttps://doi.org/10.1016/j.asoc.2013.06.023openalex-snapshot
ModEnPBT: A Modified Backtracking Ensemble Pruning algorithm
inferred← citeshttps://doi.org/10.1016/j.asoc.2014.10.045openalex-snapshot
A new reverse reduce-error ensemble pruning algorithm
inferred← citeshttps://doi.org/10.1016/j.biosystems.2004.09.031openalex-snapshot
Avoiding overfitting in multilayer perceptrons with feeling-of-knowing using self-organizing maps
inferred← citeshttps://doi.org/10.1016/j.eswa.2009.01.029openalex-snapshot
Extracting rules for classification problems: AIS based approach
inferred← citeshttps://doi.org/10.1016/j.knosys.2012.08.024openalex-snapshot
A competitive ensemble pruning approach based on cross-validation technique
inferred← citeshttps://doi.org/10.1016/j.knosys.2013.07.006openalex-snapshot
An efficient ensemble pruning algorithm using One-Path and Two-Trips searching approach
inferred← citeshttps://doi.org/10.1016/j.neucom.2005.07.012openalex-snapshot
Integrating the improved CBP model with kernel SOM
inferred← citeshttps://doi.org/10.1016/j.neucom.2011.06.005openalex-snapshot
The build of n-Bits Binary Coding ICBP Ensemble System
inferred← citeshttps://doi.org/10.1016/j.neucom.2012.03.011openalex-snapshot
Alleviating the problem of local minima in Backpropagation through competitive learning
inferred← citeshttps://doi.org/10.1109/ecnn.2000.886235openalex-snapshot
Using a clustering genetic algorithm for rule extraction from artificial neural networks
inferred← citeshttps://doi.org/10.1109/ijcnn.1999.830825openalex-snapshot
Rule extraction from a trained artificial neural network
inferred← citeshttps://doi.org/10.1109/ijcnn.1999.833466openalex-snapshot
Rule extraction from neural networks: modified RX algorithm
inferred← citeshttps://doi.org/10.1109/ijcnn.2012.6252436openalex-snapshot
Visual, linguistic data mining using Self- Organizing Maps
inferred← citeshttps://doi.org/10.16951/iibd.90906openalex-snapshot
SOM TİPİNDE YAPAY SİNİR AĞLARINI KULLANARAK TÜRKİYE’NİN İHRACAT YAPTIĞI ÜLKELERİN KÜMELENMESİ ÜZERİNE BİR ÇALIŞMA
inferred← citeshttps://doi.org/10.21528/cbrn1999-013openalex-snapshot
Extração de Regras de Redes Neurais por meio do Algoritmo RX Modificado: Um Exemplo de Aplicação em Modelagem de Dados Meteorológicos
inferred← citeshttps://doi.org/10.25772/spqj-0215openalex-snapshot
IMPROVING UNDERSTANDABILITY AND UNCERTAINTY MODELING OF DATA USING FUZZY LOGIC SYSTEMS
inferred← citeshttps://doi.org/10.35376/10324/790openalex-snapshot
Desarrollo de un sistema experto simbólico conexionista de ayuda al diagnóstico del glaucoma
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