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» A knowledge hierarchy model for adaptive multi-agent systems
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IJCNN
2007
IEEE
14 years 3 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
OTM
2005
Springer
14 years 2 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
ICSOC
2009
Springer
13 years 6 months ago
Future Research Topics in Enterprise Architecture Management - A Knowledge Management Perspective
Identifying, gathering, and maintaining information on the current, planned, and target states of the architecture of an enterprise is one major challenge of enterprise architectur...
Sabine Buckl, Florian Matthes, Christian M. Schwed...
EOR
2008
116views more  EOR 2008»
13 years 9 months ago
A hybrid neuro-fuzzy analytical approach to mode choice of global logistics management
This paper presents a hybrid neuro-fuzzy methodology to identify appropriate global logistics (GL) operational modes used for global supply chain management. The proposed methodol...
Jiuh-Biing Sheu
ACSC
2004
IEEE
14 years 22 days ago
Adaptive Cooperative Fuzzy Logic Controller
Fuzzy logic is a natural basis for modelling and solving problems involving imprecise knowledge and continuous systems. Unfortunately, fuzzy logic systems are invariably static (o...
Justin Ammerlaan, David Wright