Zobrazeno 1 - 10
of 24
pro vyhledávání: '"S.I. Hruska"'
Autor:
Alan P. Levis, John W. Elling, S.I. Hruska, Kristin L. Adair, John J. Robinson, Jason P. Luck, Sharbari Lahiri, Robert G. Timpany, Randy S. Roberts
Publikováno v:
Analytical Chemistry. 69:409A-415A
An expert system and artificial neural network combined has advantages over the individual techniques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a6ff53d4492c3a8ade2604ce7b00eb2
https://doi.org/10.1021/ac971691t
https://doi.org/10.1021/ac971691t
Autor:
Wyllis Bandler, S.I. Hruska
Publikováno v:
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. :1-10
Fuzzy implication operators have been proposed as a tool for measuring the strength of connections between recorded concepts. Hasse diagrams are used to graphically illustrate the sometimes complicated relationships between such concepts. Establishin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17a966f1a9c5748446b2786839db8c0
https://doi.org/10.1142/s021848859400002x
https://doi.org/10.1142/s021848859400002x
Publikováno v:
IEEE Transactions on Neural Networks. 3:62-72
Expert networks are event-driven, acyclic networks of neural objects derived from expert systems. The neural objects process information through a nonlinear combining function that is different from, and more complex than, typical neural network node
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64afa2676c014ceba5008867203ef3b4
https://doi.org/10.1109/72.105418
https://doi.org/10.1109/72.105418
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics. 21:1216-1223
Recent work toward the development of low-complexity, sensor-based inferencing methods to serve as the initial links of incremental robotic learning systems is described. A multimodal learning approach is proposed in which distributed sensory sources
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b70ea25a6fbf18f31b9fbc057442dc6a
https://doi.org/10.1109/21.120073
https://doi.org/10.1109/21.120073
Publikováno v:
[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems.
The investigations begun by W. Bandler and S.I. Hruska (1992) are continued and generalized. A property of implication operators is defined which gives a concrete construction of optimal and pessimal pairings for arbitrary given sequences, thereby de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d72c35ff2a23031270ee0fa5e723da4
https://doi.org/10.1109/fuzzy.1993.327386
https://doi.org/10.1109/fuzzy.1993.327386
Publikováno v:
Proceedings IEEE International Joint Symposia on Intelligence and Systems.
Intelligent instrument fault diagnosis is addressed using expert networks, a hybrid technique which blends traditional rule-based expert systems with neural network style training. One of the most difficult aspects of instrument fault diagnosis is de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71088774b649399807e8e857266be582
https://doi.org/10.1109/ijsis.1996.565056
https://doi.org/10.1109/ijsis.1996.565056
Autor:
S.I. Hruska
Publikováno v:
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).
Expert networks have been proposed as a paradigm for combining rule-based expert systems with connectionist training algorithms. The rule-base furnishes the knowledge system with a coarse framework of logically dependent concepts; the training algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9399446e1a9e883f43c784f2d0c3557e
https://doi.org/10.1109/icnn.1994.374507
https://doi.org/10.1109/icnn.1994.374507
Publikováno v:
IJCNN-91-Seattle International Joint Conference on Neural Networks.
Expert networks are defined as the embodiment of an expert's rule-based knowledge in an acyclic feedforward network. A transformation process is used to create an expert network from an expert system to enable training of the certainty factors of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5bb9e290aefe74dcb132f0e3370aef7
https://doi.org/10.1109/ijcnn.1991.155323
https://doi.org/10.1109/ijcnn.1991.155323
Autor:
Cathie LeBlanc, S.I. Hruska
Publikováno v:
1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.
In this article, we describe a method for the incremental development of knowledge-based neural systems which incorporate state information about a problem domain. Human expert domain knowledge is encoded in the architecture of a computational networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462f328d856880b6fdadd4ab32826b5e
https://doi.org/10.1109/icsmc.1997.635319
https://doi.org/10.1109/icsmc.1997.635319
Autor:
S.I. Hruska, R.C. Lacher
The objectives of this program are the design and development of knowledge based systems for increasing safety and security in nuclear facilities, to implement a graphic interface in G2, and to assess the performance of the system using validation da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47c12909cad7180e5f3e5fa859e9e5e0
https://doi.org/10.2172/621887
https://doi.org/10.2172/621887
