'Neural-gas' network for vector quantization and its application to time-series prediction

Thomas Martinetz; S.G. Berkovich; Klaus Schulten

doi:https://doi.org/10.1109/72.238311

'Neural-gas' network for vector quantization and its application to time-series prediction

1993 · IEEE Transactions on Neural Networks · 1,448 citations · 2 from inside this corpus

Thomas Martinetz, S.G. Berkovich low, Klaus Schulten

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.

7 of 7 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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Citation edge evidence

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Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…→'Neural-gas' network for vector quantization and its application to time-series predictionLegacy edge — source detail unavailable
Continual lifelong learning with neural networks: A review→'Neural-gas' network for vector quantization and its application to time-series predictionLegacy edge — source detail unavailable
'Neural-gas' network for vector quantization and its application to time-series prediction→Least squares quantization in PCMLegacy edge — source detail unavailable
'Neural-gas' network for vector quantization and its application to time-series prediction→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable
'Neural-gas' network for vector quantization and its application to time-series prediction→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
'Neural-gas' network for vector quantization and its application to time-series prediction→Fast Learning in Networks of Locally-Tuned Processing UnitsLegacy edge — source detail unavailable
'Neural-gas' network for vector quantization and its application to time-series prediction→Advances in Neural Information Processing Systems 37Legacy edge — source detail unavailable
Continual lifelong learning with neural networks: A review→Self-organized formation of topologically correct feature mapsLegacy edge — source detail unavailable

What this paper cites, inside the corpus

Paper	Year	Cited
Least squares quantization in PCM	1982	15,893
Self-organized formation of topologically correct feature maps	1982	9,582
Self-Organization and Associative Memory	1989	8,778
Fast Learning in Networks of Locally-Tuned Processing Units	1989	4,230
Advances in Neural Information Processing Systems 37	2024	2,802

What cites it, inside the corpus

Paper	Year	Cited
Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communi…	2004	3,862
Continual lifelong learning with neural networks: A review	2019	3,145

Links

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Topics

Neural Networks and Applications	Computer Science
Image and Signal Denoising Methods	Computer Science
Advanced Data Compression Techniques	Computer Science

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complete

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supports3 author record(s) attached.
supports36 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

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