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NPL
2002
145views more  NPL 2002»
13 years 9 months ago
Hybrid Feedforward Neural Networks for Solving Classification Problems
A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in or...
Iulian B. Ciocoiu

Book
357views
15 years 8 months ago
Foundations of Constraint Satisfaction
"Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many a...
Edward Tsang
SARA
2007
Springer
14 years 4 months ago
Reformulating Constraint Satisfaction Problems to Improve Scalability
Constraint Programming is a powerful approach for modeling and solving many combinatorial problems, scalability, however, remains an issue in . Abstraction and reformulation techni...
Kenneth M. Bayer, Martin Michalowski, Berthe Y. Ch...
CP
2005
Springer
14 years 3 months ago
Distributed Constraints for Large-Scale Scheduling Problems
Many problems of theoretical and practical interest can be formulated as Constraint Satisfaction Problems (CSPs). The general CSP is known to be NP-complete; however, distributed m...
Montserrat Abril, Miguel A. Salido, Federico Barbe...
WLP
2004
Springer
14 years 3 months ago
Effective Modeling with Constraints
Constraint programming provides a declarative approach to solving combinatorial (optimization) problems. The user just states the problem as a constraint satisfaction problem (CSP)...
Roman Barták