Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Mohamad H. Hassoun"'
Publikováno v:
IJCNN
In various studies, it has been demonstrated that combining the decisions of multiple classifiers can lead to better recognition results. Plurality voting is one of the most widely used combination strategies. In this paper, we both theoretically and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c073e8ec48424abcb8bdb167b6dcc964
https://doi.org/10.1007/s11063-009-9097-1
https://doi.org/10.1007/s11063-009-9097-1
Publikováno v:
Neural Networks. 14:1189-1200
This paper presents an analysis of a two-level decoupled Hamming network, which is a high performance discrete-time/discrete-state associative memory model. The two-level Hamming memory generalizes the Hamming memory by providing for local Hamming di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::270ae09b23bb1446fc9d625442d36cdb
https://doi.org/10.1016/s0893-6080(01)00089-2
https://doi.org/10.1016/s0893-6080(01)00089-2
Autor:
Paul Watta, Mohamad H. Hassoun
Publikováno v:
Neural Processing Letters. 13:183-194
This Letter reviews four models of associative memory which generalize the operation of the Hamming associative memory: the grounded Hamming memory, the cellular Hamming memory, the decoupled Hamming memory, and the two-level decoupled Hamming memory
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573947a2141ff2b0d19d3b0a7310d41f
https://doi.org/10.1023/a:1011384407294
https://doi.org/10.1023/a:1011384407294
Publikováno v:
IEEE Transactions on Neural Networks. 8:1268-1280
Discrete-time/discrete-state recurrent neural networks are analyzed from a dynamical Boolean systems point of view in order to devise new analytic and design methods for the class of both single and multilayer recurrent artificial neural networks. Wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc07201e965501e421a89fe78999f78a
https://doi.org/10.1109/72.641450
https://doi.org/10.1109/72.641450
Autor:
Agus Sudjianto, Mohamad H. Hassoun
Publikováno v:
Neural Networks. 8:707-715
Recently, the extension of Hebbian learning to nonlinear units has received increased attention. Some successful applications of this learning rule to nonlinear principal component analysis have been reported as well, however, a fundamental understan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be2472df48c9b2396946b4b2b9e988ab
https://doi.org/10.1016/0893-6080(95)00028-x
https://doi.org/10.1016/0893-6080(95)00028-x
Autor:
Mohamad H. Hassoun, P.B. Watta
Publikováno v:
Computer Applications in Engineering Education. 3:195-204
This article presents two computer projects which can be incorporated in an undergraduate course in artificial neural networks. These projects allow students to explore both the exciting possibilities and practical limitations of machine learning usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::123276e7c1f8e930d406aae3e95bde18
https://doi.org/10.1002/cae.6180030307
https://doi.org/10.1002/cae.6180030307
Publikováno v:
IEEE Transactions on Biomedical Engineering. 41:1053-1061
For pt. I see ibid., vol. 41, no. 11, p. 1039-53 (1994). In pt. I the authors presented a new method for the decomposition of clinical electromyographic signals, NNERVE, which utilizes a novel "pseudo-unsupervised" neural network approach to signal d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929b6e800fb66555e7d36d6f988f95de
https://doi.org/10.1109/10.335843
https://doi.org/10.1109/10.335843
Publikováno v:
IJCNN
A recent trend in the field of pattern recognition has been the use of ensemble classifiers. If combined properly, the ensemble can achieve a higher identification rate than any individual classifier. Plurality voting is one of the most commonly used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfc0df812932a9cbf20de1abeab5ea03
https://doi.org/10.1109/ijcnn.2009.5178708
https://doi.org/10.1109/ijcnn.2009.5178708
Autor:
P.B. Watta, Mohamad H. Hassoun
Publikováno v:
IEEE Transactions on Neural Networks. 2:437-448
The exact dynamics of shallow loaded associative neural memories are generated and characterized. The Boolean matrix analysis approach is employed for the efficient generation of all possible state transition trajectories for parallel updated binary-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad986aa0d214e9ada3f96089420614a
https://doi.org/10.1109/72.88163
https://doi.org/10.1109/72.88163
Autor:
Ashvin J. Sanghvi, Mohamad H. Hassoun
Publikováno v:
Neural Networks. 3:355-363
Highly interconnected networks of relatively simple processing elements are shown to be very effective in solving difficult optimization problems. Problems that fall into the broad category of finding a least cost path between two points, given a dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac84d59d2c0522523fa6c2588e0e4e9
https://doi.org/10.1016/0893-6080(90)90078-y
https://doi.org/10.1016/0893-6080(90)90078-y