نتایج جستجو برای: optimum dimension

تعداد نتایج: 178773  

Journal: :IEEE Transactions on Very Large Scale Integration (VLSI) Systems 2019

Journal: :فصلنامه علمی پژوهشی مهندسی مکانیک جامدات واحد خمینی شهر 0
koorosh rayzan islamic azad university, najafabad branch ahmad keshavarzi young researchers and elite club, khomeinishahr branch, islamic azad university, khomeinishahr, iran

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Journal: :Journal of Mining and Metallurgy A: Mining 2014

2013
Jing Zhao Ming Li Zhihong Wang

The evolutionary learning of fuzzy neural networks (FNN) consists of structure learning to determine the proper number of fuzzy rules and parameters learning to adjust the network parameters. Many optimization algorithms can be applied to evolve FNN. However the search space of most algorithms has fixed dimension, which cannot suit to dynamic structure learning of FNN. We propose a novel techni...

Journal: :Expert Syst. Appl. 2011
Serkan Kiranyaz Jenni Pulkkinen Moncef Gabbouj

Particle swarm optimization (PSO) has been initially proposed as an optimization technique for static environments; however, many real problems are dynamic, meaning that the environment and the characteristics of the global optimum can change in time. Thanks to its stochastic and population based nature, PSO may avoid becoming trapped in local optima and find the global optimum. However, this i...

Journal: :Pattern Recognition Letters 2003
Sonny Novianto Yukinori Suzuki Junji Maeda

This paper presents an algorithm for estimating the local fractal dimension (LFD) of textured images. The algorithm is established by an experimental approach based on the blanket method. The proposed method uses the near optimum number of blankets to obtain the LFD for a small local window. The robustness of the proposed method to consistently estimate the LFD using up to a 3 3 local window is...

Journal: :Neural networks : the official journal of the International Neural Network Society 2009
Serkan Kiranyaz Turker Ince E. Alper Yildirim Moncef Gabbouj

In this paper, we propose a novel technique for the automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an architecture space. It is entirely based on a multi-dimensional Particle Swarm Optimization (MD PSO) technique, which re-forms the native structure of swarm particles in such a way that they can make inter-dimensional passes with...

1998
Sang-Myung Park Sang-Kyu Lee Bong-Hee Moon

This paper is considered with the problem of embedding complete binary trees into 3-dimensional meshes using dimension-ordered routing with the primary concern of minimizing the link congestion. The authors showed that a complete binary tree with 2 1 nodes can be embedded into a 3-dimensional mesh with optimum size, 2 nodes, if the link congestion is two [7]. (More precisely, the link congestio...

2012
Frank R. Schmidt Yuri Boykov

It is well known that multi-surface segmentation can be cast as a multi-labeling problem. Different segments may belong to the same semantic object which may impose various inter-segment constraints [1]. In medical applications, there are a lot of scenarios where upper bounds on the Hausdorff distances between subsequent surfaces are known. We show that incorporating these priors into multi-sur...

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