نتایج جستجو برای: genetic network programming gnp

تعداد نتایج: 1520772  

Journal: :Security and Communication Networks 2022

Portfolio is an investment management concept different from individual asset management. This consideration leads to interesting result, that is, investors should buy a variety of securities at the same time instead one kind for diversified investment. Aiming limitations BPNN (BP neural network) in traditional artificial network and its shortcomings such as many iterations, low convergence acc...

Journal: :Transactions of the Society of Instrument and Control Engineers 2004

Journal: :Scientific Journal of Riga Technical University. Computer Sciences 2011

Journal: :international journal of industrial engineering and productional research- 0
ali shahandeh nookabadi isfahan university of tech. mohammad reza yadoolahpour isfahan university of tech. soheila kavosh isfahan university of tech.

network location models comprise one of the main categories of location models. these models have various applications in regional and urban planning as well as in transportation, distribution, and energy management. in a network location problem, nodes represent demand points and candidate locations to locate the facilities. if the links network is unchangeably determined, the problem will be ...

2009
Zdenek Buk Jan Koutník Miroslav Snorek

In this paper we present application of genetic programming (GP) [1] to evolution of indirect encoding of neural network weights. We compare usage of original HyperNEAT algorithm with our implementation, in which we replaced the underlying NEAT with genetic programming. The algorithm was named HyperGP. The evolved neural networks were used as controllers of autonomous mobile agents (robots) in ...

Journal: :Mathematical and Computer Modelling 2011
Timothy Ganesan Pandian Vasant I. Elamvazuthi

A fairly reasonable result was obtained for nonlinear engineering problems using the optimization techniques such as neural network, genetic algorithms, and fuzzy logic independently in the past. Increasingly, hybrid techniques are being used to solve the nonlinear problems to obtain a better output. This paper discusses the use of neuro-genetic hybrid technique to optimize the geological struc...

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