Zobrazeno 1 - 10
of 33
pro vyhledávání: '"T. Hediger"'
Publikováno v:
Physica D: Nonlinear Phenomena. 58:1-9
Backpropagating neural networks are used to reconstruct the attractors of two low-dimensional chaotic systems using small input sets of noise-corrupted data. The nets are able to reconstruct attractors that are visually similar to, and have the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c2cd2b022da030a74b7a23a5b7c196d
https://doi.org/10.1016/0167-2789(92)90098-8
https://doi.org/10.1016/0167-2789(92)90098-8
Publikováno v:
Physical Review A. 41:5325-5332
An algorithm to estimate the average local intrinsic dimension (〈${\mathit{d}}_{\mathrm{LID}}$〉) of an attractor using signal versus noise separation methods based on information-theoretic criteria is explored in this work. Using noisy sample dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d117e9b8efe468b130b65e7b1aa31d6
https://doi.org/10.1103/physreva.41.5325
https://doi.org/10.1103/physreva.41.5325
Autor:
T. Hediger, A. Passamante
Publikováno v:
ICASSP
The use of spectrum estimators as preprocessors to classification decisions is discussed in this paper. The classification performance using features chosen after spectrum estimation is measured by estimating the Bayes error, obtained by using the kt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::456cd8e7395f816d2cf80eeaefdd7715
https://doi.org/10.1109/icassp.1985.1168336
https://doi.org/10.1109/icassp.1985.1168336
Publikováno v:
Physical review. A, Atomic, molecular, and optical physics. 41(12)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dde157e9cdd63e5a98e29cd8212caa01
https://pubmed.ncbi.nlm.nih.gov/9903071
https://pubmed.ncbi.nlm.nih.gov/9903071
Publikováno v:
IJCNN
A nontrivial computation task that attempts to recognize two-or-more-clumps in a 5-b string is used to illustrate the important influence of training set selection on generalization properties of back-propagation networks. For this problem, the input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12b8e2e976b1e59f3b25a13037ef8e6f
https://doi.org/10.1109/ijcnn.1990.137836
https://doi.org/10.1109/ijcnn.1990.137836
Publikováno v:
Physical Review A. 39:3640-3645
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62b83100435e8ca778a73ce08a874b0d
https://doi.org/10.1103/physreva.39.3640
https://doi.org/10.1103/physreva.39.3640
Autor:
T. Hediger, J.E. Prenosil
Publikováno v:
Desalination. 53:265-278
An improved capillary membrane fixed enzyme reactor (CAMFER) model developed earlier (ref. 6) was extensively tested by experiments with laboratory and industrial hollow fiber modules for lactose hydrolysis by β-galactosidase. Two capillary internal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798eb6ff9ecfb3667f02a1ba6b647300
https://doi.org/10.1016/0011-9164(85)85066-9
https://doi.org/10.1016/0011-9164(85)85066-9
Publikováno v:
Annals of the New York Academy of Sciences. 434:136-139
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a0433f74cb6afdce62d997e8d2afc11
https://doi.org/10.1111/j.1749-6632.1984.tb29815.x
https://doi.org/10.1111/j.1749-6632.1984.tb29815.x
Publikováno v:
Nature Biotechnology. 2:441-444
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccb5ba970af3d20f6786b0fcdf7ba71d
https://doi.org/10.1038/nbt0584-441
https://doi.org/10.1038/nbt0584-441
Publikováno v:
NATO ASI Series ISBN: 9781475706253
An algorithm to estimate the average local intrinsic dimension ( ) of an attractor using information theoretic criteria is explored in this work. Using noisy sample data the is computed from an eigenanalysis of local attractor regions, indicating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20abb5e5a6cf24060ca42a0ade4c8ed4
https://doi.org/10.1007/978-1-4757-0623-9_19
https://doi.org/10.1007/978-1-4757-0623-9_19
