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Selection of training data for neural networks by a genetic algorithm
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-4471-2097-1_151openalex-snapshot
Dynamic Pattern Selection: Effectively training Backpropagation Neural Networks
inferredcites →https://doi.org/10.1007/978-3-7091-7535-4_122openalex-snapshot
Optimal Training Pattern Selection Using a Cluster-Generating Artificial Neural Network
inferredcites →https://doi.org/10.1007/978-3-7091-7535-4_123openalex-snapshot
Training Set Selection in Neural Network Applications
inferredcites →https://doi.org/10.1007/bf01411376openalex-snapshot
Genetic set recombination and its application to neural network topology optimisation
inferredcites →https://doi.org/10.1080/00401706.1984.10487996openalex-snapshot
Residuals and Influence in Regression
inferredcites →https://doi.org/10.1093/oso/9780198538493.001.0001openalex-snapshot
Neural Networks for Pattern Recognition
inferredcites →https://doi.org/10.1109/cogann.1992openalex-snapshot
[Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks
inferredcites →https://doi.org/10.1162/neco.1989.1.2.281openalex-snapshot
Fast Learning in Networks of Locally-Tuned Processing Units
inferredcites →https://doi.org/10.2307/2288741openalex-snapshot
Residuals and Influence in Regression.
inferredcites →https://doi.org/10.5860/choice.31-5500openalex-snapshot
Neural networks for pattern recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/11893295_47openalex-snapshot
Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction
inferred← citeshttps://doi.org/10.1007/978-3-319-99987-6_15openalex-snapshot
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks
inferred← citeshttps://doi.org/10.1007/s00521-004-0404-5openalex-snapshot
A review of genetic algorithms applied to training radial basis function networks
inferred← citeshttps://doi.org/10.1007/s10462-017-9611-1openalex-snapshot
Selecting training sets for support vector machines: a review
inferred← citeshttps://doi.org/10.1016/j.asoc.2005.02.006openalex-snapshot
On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining
inferred← citeshttps://doi.org/10.1016/j.cmpb.2008.02.005openalex-snapshot
Epileptic EEG detection using neural networks and post-classification
inferred← citeshttps://doi.org/10.1016/j.envsoft.2014.06.016openalex-snapshot
Adaptive water demand forecasting for near real-time management of smart water distribution systems
inferred← citeshttps://doi.org/10.1016/j.eswa.2005.10.007openalex-snapshot
Artificial neural networks with evolutionary instance selection for financial forecasting
inferred← citeshttps://doi.org/10.1016/j.eswa.2012.01.047openalex-snapshot
A data clustering algorithm for stratified data partitioning in artificial neural network
inferred← citeshttps://doi.org/10.1016/j.ijmachtools.2005.04.005openalex-snapshot
Effective training data selection in tool condition monitoring system
inferred← citeshttps://doi.org/10.1016/j.neunet.2009.11.009openalex-snapshot
Data splitting for artificial neural networks using SOM-based stratified sampling
inferred← citeshttps://doi.org/10.1080/00207160.2011.629654openalex-snapshot
Evolutionary optimization of video event classification
inferred← citeshttps://doi.org/10.1088/2399-6528/abebcfopenalex-snapshot
Efficient solution of linear inverse problems using an iterative linear neural network with a generalization training approach
inferred← citeshttps://doi.org/10.1109/iciis.1999.810310openalex-snapshot
Improving robustness of connectionist speech recognition systems by genetic algorithms
inferred← citeshttps://doi.org/10.1109/itsim.2010.5561553openalex-snapshot
A novel weighting scheme for efficient document indexing and classification
inferred← citeshttps://doi.org/10.1145/1816041.1816085openalex-snapshot
Motion data-driven model for semantic events classification using an optimized support vector machine
inferred← citeshttps://doi.org/10.1155/2008/184286openalex-snapshot
Evolving Neural Networks for Static Single‐Position Automated Trading
inferred← citeshttps://doi.org/10.1155/s1110865703302070openalex-snapshot
On the Use of Evolutionary Algorithms to Improve the Robustness of Continuous Speech Recognition Systems in Adverse Conditions
inferred← citeshttps://doi.org/10.1179/174602206x152581openalex-snapshot
Novel system for predicting slagging behaviour of fuel blends in large scale utility boilers
inferred← citeshttps://doi.org/10.15388/23-infor530openalex-snapshot
A New Decision Making Method for Selection of Optimal Data Using the Von Neumann-Morgenstern Theorem
inferred← citeshttps://doi.org/10.3390/s22145410openalex-snapshot
Predicting Activity Duration in Smart Sensing Environments Using Synthetic Data and Partial Least Squares Regression: The Case of Dementia Patients
inferred← citeshttps://doi.org/10.4018/978-1-59904-849-9.ch088openalex-snapshot
Evolutionary Approaches for ANNs Design
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