Who Cited It

Neural networks for classification: a survey

2000 · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · 1,672 citations · 3 from inside this corpus

Gongbo Zhang

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Neural networks for classification: a survey (2000)Neural networks for classific…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…An Introduction to the Bootstrap (1993)An Introduction to the Bootst…Neural networks for pattern recognition (1994)Neural networks for pattern r…Bagging Predictors (1996)Bagging PredictorsBagging predictors (1996)Bagging predictorsApproximation by superpositions of a sigmoidal function (1989)Approximation by superpositio…Neural Networks for Pattern Recognition (1995)Neural Networks for Pattern R…Introduction to Statistical Pattern Recognition (1990)Introduction to Statistical P…Multilayer feedforward networks are universal approximators (1989)Multilayer feedforward networ…Stacked generalization (1992)Stacked generalizationTraining feedforward networks with the Marquardt algorithm (1994)Training feedforward networks…Probability, Random Variables, and Stochastic Processes (1966)Probability, Random Variables…Introduction to the theory of neural computation (1994)Introduction to the theory of…Approximation capabilities of multilayer feedforward networks (1991)Approximation capabilities of…On combining classifiers (1998)On combining classifiersRandom variables and stochastic processes (1979)Random variables and stochast…Neural network ensembles (1990)Neural network ensemblesNeural Networks and the Bias/Variance Dilemma (1992)Neural Networks and the Bias/…A Practical Bayesian Framework for Backpropagation Networks (1992)A Practical Bayesian Framewor…Pattern recognition : a statistical approach (1982)Pattern recognition : a stati…Solving Multiclass Learning Problems via Error-Correcting Output Codes (1995)Solving Multiclass Learning P…Using mutual information for selecting features in supervised neural net learning (1994)Using mutual information for …Optimal Brain Damage (1989)Optimal Brain DamageMachine Learning, Neural and Statistical Classification (1995)Machine Learning, Neural and …Wavelet networks (1992)Wavelet networksNeural Network Ensembles, Cross Validation, and Active Learning (1994)Neural Network Ensembles, Cro…Pruning algorithms-a survey (1993)Pruning algorithms-a surveyWhat Size Net Gives Valid Generalization? (1989)What Size Net Gives Valid Gen…Optimal unsupervised learning in a single-layer linear feedforward neural network (1989)Decision combination in multiple classifier systems (1994)Decision combination in multi…Interpreting neural-network connection weights (1991)Interpreting neural-network c…Supervised Machine Learning: A Review of Classification Techniques (2007)Supervised Machine Learning: …Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…A review of clustering techniques and developments (2017)A review of clustering techni…
34 of 34 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Multilayer feedforward networks are universal approximators198921,633
An Introduction to the Bootstrap199321,041
Neural networks for pattern recognition199418,720
Bagging Predictors199617,191
Bagging predictors199616,468
Approximation by superpositions of a sigmoidal function198913,884
Neural Networks for Pattern Recognition199512,273
Introduction to Statistical Pattern Recognition199011,140
Multilayer feedforward networks are universal approximators19899,357
Stacked generalization19927,777
Training feedforward networks with the Marquardt algorithm19947,739
Probability, Random Variables, and Stochastic Processes19666,513
Introduction to the theory of neural computation19946,461
Approximation capabilities of multilayer feedforward networks19916,176
On combining classifiers19985,302
Random variables and stochastic processes19794,654
Neural network ensembles19904,288
Neural Networks and the Bias/Variance Dilemma19923,612
A Practical Bayesian Framework for Backpropagation Networks19922,962
Pattern recognition : a statistical approach19822,927
Solving Multiclass Learning Problems via Error-Correcting Output Codes19952,729
Using mutual information for selecting features in supervised neural net learning19942,629
Optimal Brain Damage19892,606
Machine Learning, Neural and Statistical Classification19952,193
Wavelet networks19922,099
Neural Network Ensembles, Cross Validation, and Active Learning19941,803
Pruning algorithms-a survey19931,717
What Size Net Gives Valid Generalization?19891,559
Optimal unsupervised learning in a single-layer linear feedforward neural network19891,533
Decision combination in multiple classifier systems19941,515
Interpreting neural-network connection weights19911,499

What cites it, inside the corpus

PaperYearCited
Supervised Machine Learning: A Review of Classification Techniques20074,149
Machine learning: a review of classification and combining techniques20061,562
A review of clustering techniques and developments20171,369

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Face and Expression RecognitionComputer Science
Rough Sets and Fuzzy LogicComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports1 author record(s) attached.
  • supports213 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

sha256 7bc26169e93749d1…