Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Stanley P. Franklin"'
Autor:
Robert E. Sweeney, Stanley P. Franklin
Publikováno v:
Cases and Select Readings in Health Care Marketing ISBN: 9781315860084
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81e1eac7c4f6bfc16e26fe7a62174bf3
https://doi.org/10.4324/9781315860084-27
https://doi.org/10.4324/9781315860084-27
Autor:
Stanley S. Franklin
Publikováno v:
Artery Research, Vol 4, Iss 1 (2010)
Controversy persists regarding the presence and significance of blood pressure “J-curves” of increased cardiovascular disease (CVD) risk as they relate to older people with isolated systolic hypertension (ISH). Age is an important effect modifier
Externí odkaz:
https://doaj.org/article/aca142ce799944f39b7e9fd1516624bd
Autor:
Stanley S. Franklin
Publikováno v:
Artery Research, Vol 1, Iss 1 (2007)
Although brachial systolic blood pressure (SBP) is the overall best predictor of future cardiovascular risk for the entire hypertensive population, there is much that can be learned from assessing diastolic blood pressure (DBP) in relation to simulta
Externí odkaz:
https://doaj.org/article/3070357e33374e0d9f9d33763f487bef
Publikováno v:
Journal of Parallel and Distributed Computing. 14:203-220
Here we describe the logical design and testing of a general-purpose neurocomputer, AMNIAC. It may be thought of as a programmable neural network that can simulate arbitrary SIMD and MIMD machines of practical interest (modeled as cellular automata,
Publikováno v:
Discourse Processes. 13:279-303
QUEST is a cognitive model of question answering that accounts for the answers adults give to questions such as “Why?” “How?” “When?” “Where?” “What are the consequences of X?” “Is X true or false?” QUEST specifies the informa
Autor:
Max H. Garzon, Stanley P. Franklin
Publikováno v:
Minds and Machines. 2
The importance of the Stability Problem in neurocomputing is discussed, as well as the need for the study of infinite networks. Stability must be the key ingredient in the solution of a problem by a neural network without external intervention. Infin
Autor:
Aregahegn Negatu, Stanley P. Franklin
Publikováno v:
The Knowledge Engineering Review. 24:410-410
Despite impressive advances in the past decades, autonomous agents living in dynamic and unpredictable environments are typically equipped with simple decision-making mechanisms in their sense-decide-act routines. These agents deal mostly with one go
This chapter focuses on some of the ways of configuring and optimizing a back-propagation network. Some of the major ways to improve the performance of back-propagation or similar multi-layer feedforward networks are by modifying the structure, the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0741c2ecdc17af027b5a25046655870
https://doi.org/10.1016/b978-0-12-546090-3.50019-x
https://doi.org/10.1016/b978-0-12-546090-3.50019-x
Autor:
Dan Jones, Stanley P. Franklin
Publisher Summary This chapter provides general guidelines for the design and development of a useful neural network system. Algorithmic, statistical, and more traditional artificial intelligence (AI) approaches should be considered before deciding o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0a43a69696054571a4c6d8fd8c083cf
https://doi.org/10.1016/b978-0-12-546090-3.50018-8
https://doi.org/10.1016/b978-0-12-546090-3.50018-8