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Neural networks for combinatorial optimization: a review of more than a decade of research
It has been over a decade since neural networks were first applied to solve combinatorial
optimization problems. During this period, enthusiasm has been erratic as new approaches …
optimization problems. During this period, enthusiasm has been erratic as new approaches …
Recommender systems based on graph embedding techniques: A review
As a pivotal tool to alleviate the information overload problem, recommender systems aim to
predict user's preferred items from millions of candidates by analyzing observed user-item …
predict user's preferred items from millions of candidates by analyzing observed user-item …
Functional-link net computing: theory, system architecture, and functionalities
A system architecture and a network computational approach compatible with the goal of
devising a general-purpose artificial neural network computer are described. The …
devising a general-purpose artificial neural network computer are described. The …
The maximum clique problem
The maximum clique problem is a classical problem in combinatorial optimization which
finds important applications in different domains. In this paper we try to give a survey of …
finds important applications in different domains. In this paper we try to give a survey of …
[ספר][B] Understanding neural networks and fuzzy logic: basic concepts and applications
SV Kartalopoulos, SV Kartakapoulos - 1997 - dl.acm.org
From the Publisher: Understand the fundamentals of the emerging field of fuzzy neural
networks, their applications and the most used paradigms with this carefully organized state …
networks, their applications and the most used paradigms with this carefully organized state …
A constrained optimization method based on BP neural network
A constrained optimization method based on back-propagation (BP) neural network is
proposed in this paper. Taking the maximization of output for example, using unipolar …
proposed in this paper. Taking the maximization of output for example, using unipolar …
Real-time frequency and harmonic evaluation using artificial neural networks
LL Lai, WL Chan, CT Tse… - IEEE Transactions on …, 1999 - ieeexplore.ieee.org
With increasing harmonic pollution in the power system, real-time monitoring and analysis of
harmonic variations have become important. Because of limitations associated with …
harmonic variations have become important. Because of limitations associated with …
[ספר][B] Introduction to neural and cognitive modeling
DS Levine - 2000 - taylorfrancis.com
This thoroughly, thoughtfully revised edition of a very successful textbook makes the
principles and the details of neural network modeling accessible to cognitive scientists of all …
principles and the details of neural network modeling accessible to cognitive scientists of all …
[ספר][B] Neural network and fuzzy logic applications in C/C++
ST Welstead - 1994 - academia.edu
excellent handbook. It gives everyone, college students, experienced neural network
researchers, and programmers, the basic conceptual and practical tools to actually design …
researchers, and programmers, the basic conceptual and practical tools to actually design …
[ספר][B] Real life applications of soft computing
Rapid advancements in the application of soft computing tools and techniques have proven
valuable in the development of highly scalable systems. Although many resources on the …
valuable in the development of highly scalable systems. Although many resources on the …