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pro vyhledávání: '"Russell C. Eberhart"'
Autor:
Russell C. Eberhart, Yuhui Shi
Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Comput
Publikováno v:
SSCI
A new generation of particle swarm optimization (PSO) has been developed that automatically evolves optimal or near-optimal values for parameters of the PSO algorithm such as population size and neighborhood size, and, if used, parameters of associat
Autor:
Russell C. Eberhart
Publikováno v:
2016 Swarm/Human Blended Intelligence Workshop (SHBI).
This paper discusses possible approaches to evolving intelligence in which blended intelligence and extended analog computing play roles. Deep learning and universal learning are briefly summarized. A definition of blended intelligence is proposed, f
Autor:
Russell C. Eberhart, Yuhui Shi
Publikováno v:
Frontiers of Computer Science in China. 3:31-37
In this paper, several diversity measurements will be discussed and defined. As in other evolutionary algorithms, first the population position diversity will be discussed followed by the discussion and definition of population velocity diversity whi
Autor:
Russell C. Eberhart
This is the first practical guide that enables you to actually work with artificial neural networks on your personal computer. It provides basic information on neural networks, as well as the following special features:source code listings in C••
Publikováno v:
Concurrency and Computation: Practice and Experience. 16:895-915
Gene clustering, the process of grouping related genes in the same cluster, is at the foundation of different genomic studies that aim at analyzing the function of genes. Microarray technologies have made it possible to measure gene expression levels
Publikováno v:
IEEE Transactions on Fuzzy Systems. 7:109-119
Evolutionary fuzzy systems are discussed in which the membership function shapes and types and the fuzzy rule set including the number of rules inside it are evolved using a genetic (evolutionary) algorithm. In addition, the genetic parameters (opera
Publikováno v:
2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications.
Particle swarm optimization has evolved from modeling social systems to applications for security and defense. Engineering applications for estimating battery state of charge and optimizing container port yard planning were among early successes. App
Publikováno v:
Proceedings of 2010 IEEE International Conference on Vehicular Electronics and Safety.
Excessive sleepiness may result in an increased risk of a motor vehicle crash either because the motorist falls asleep while driving or because he/she experiences reduced attention to road events and driving tasks due to sleepiness/inattention. This
Publikováno v:
SIS
An unmanned aerial vehicle (UAV) assignment model requires allocating vehicles to targets to perform various tasks. It is a complex assignment problem with hard constraints, and potential dimensional explosion when the scenarios become more complicat