F. Hamker and D. Heinke, \Implementation and comparison of growing neural gas, growing cell structures and fuzzy artmap," Tech. Rep. 1/97, Schriftenreihe des FG Neuroinformatik der TU Ilmenau, 1997. Home/Search Document Details and Download
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Fully Automatic Clustering System - Patanč, Russo (1 citation) (Correct)
.... They are used for problems of both Supervised Learning (SL) and Unsupervised Learning (UL) Among them, we cite: Growing and Splitting Elastic Nets (UL) 30] Incremental Radial Basis Functions Networks (SL) 31] Growing Cell Structures (GCS, SL and UL) 32] Growing Neural Gas (GNG, SL and UL) [33, 34] that take Neural Gas [35] UL) as a starting point, Fuzzy ARTMAP (SL) 36] that derives from the Adaptive Resonance Theory (ART) of Grossberg [37] FOSART [29,38] and the Competitive Agglomeration Algorithms [2, 25] In this paper the Fully Automatic Clustering System (FACS) is presented. It is ....
F. Hamker and D. Heinke, \Implementation and comparison of growing neural gas, growing cell structures and fuzzy artmap," Tech. Rep. 1/97, Schriftenreihe des FG Neuroinformatik der TU Ilmenau, 1997.
Unsupervised Learning on Traditional and Distributed Systems - Patanč (Correct)
.... They are used for problems of both Supervised Learning (SL) and Unsupervised Learning (UL) Among them, we cite: Growing and Splitting Elastic Nets (UL) 61] Incremental Radial Basis Functions Networks (SL) 62] Growing Cell Structures (GCS, SL and UL) 63] Growing Neural Gas (GNG, SL and UL) [64, 65] that take Neural Gas [66] UL) as a starting point, Fuzzy ARTMAP (SL) 67] that derives from the Adaptive Resonance Theory (ART) of Grossberg [68] FOSART [48, 69] and the Competitive Agglomeration Algorithms [14, 45] In chapter 6, the Fully Automatic Clustering System (FACS) is presented. It ....
F. Hamker and D. Heinke, \Implementation and comparison of growing neural gas, growing cell structures and fuzzy artmap," Tech. Rep. 1/97, Schriftenreihe des FG Neuroinformatik der TU Ilmenau, 1997.
Double Growing Neural Gas for Disease Diagnosis - Cheng, Zell (2000) (Correct)
....the current classification error (used as resource value) can be used to determine where to insert new RBF units. Third, the networks can generalize well and have a relatively small size. A performance comparisons of GNG with other neural network models have been made by M. Kunze [7] and F. Hamker [3]. 2 Double Growing Neural Gas 2.1 The Mechanism of DGNG The cell growing mechanism of DGNG is nearly the same as in GNG. The only difference is that in DGNG two new cells are inserted simultaneously instead of only one new cell as in GNG. In other words, in each insertion step of GNG only one ....
F. Hamker and D. Heinke. Implementation and comparison of growing neural gas, growing cell structures and fuzzy artmap. In Technical report, Schriftenreihe des FG Neuroinformatik der TU Ilmenau. Report 1/97, ISSN 0945-7518, 1997.
Externally Growing Cell Structures for Pattern Classification - Cheng, Zell (2000) (Correct)
....cell structures [3] hierarchical growing cell structures [4] probabilistic growing cell structures [18] growing radial basis function networks [2] growing multi dimensional SOM [15] Performance comparisons of GCS with other neural network models have been made by B. Fritzke [8] and F. Hamker [11]. An implementation of the supervised growing cell structure on the CNAPS neurocomputer was made by J. Steffens and M. Kunze [16] In order to speed up the convergence and to improve the generalization performance, we present a new incremental self organizing neural network, the Externally ....
....is good enough. Second, since positioning of RBF units and supervised training of connection weights is performed in parallel, the current classification error can be used to determine where to insert new RBF units. Third, the networks can generalize well and have a relatively small size [11]. 3 Externally Growing Cell Structures (EGCS) 3.1 Resource Variable and Insertion Criterion We can use GCS with different means. It is essential that new cells are inserted in such a way that the expected value of a certain error measure or signal counter or resource value (the accumulated ....
F. Hamker and D. Heinke. Implementation and comparison of growing neural gas, growing cell structures and fuzzy artmap. In Technical report, Schriftenreihe des FG Neuroinformatik der TU Ilmenau. Report 1/97, ISSN 0945-7518, 1997.
Self-Organizing Maps for Pattern Classification - Atukorale (1999) (Correct)
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Fred Hamker and Dietmar Heinke. Implementation and Comparison of Growing Neural Gas, Growing Cell Structures and Fuzzy Artmap. Technical Report 1/97, Technical University of Ilmenau, April 1997.
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