نتایج جستجو برای: rbfn

تعداد نتایج: 265  

Journal: :CoRR 2004
Pierre Courrieu

− The solving of least square systems is a useful operation in neurocomputational modeling of learning, pattern matching, and pattern recognition. In these last two cases, the solution must be obtained on-line, thus the time required to solve a system in a plausible neural architecture is critical. This paper presents a recurrent network of Sigma-Pi neurons, whose solving time increases at most...

1996
Janusz A. Starzyk Dale E. Nelson

This paper investigates independence of classifiers in neural networks for high range resolution radar target recognition. Independent classifiers are used to select distinguishing features for synthesis of ontogenic neural networks (networks that generate their own topology during training). A class of nonorthogonal classifiers is defined and their classification properties are investigated. R...

2012
Rafał Stanisławski Krzysztof J. Latawiec

Nonlinear block-oriented systems, including the Hammerstein, Wiener and feedbacknonlinear systems have attracted considerable research interest both from the industrial and academic environments (Bai, 1998), (Greblicki, 1989), (Latawiec, 2004), (Latawiec et al., 2003), (Latawiec et al., 2004), (Pearson & Pottman, 2000). It is well known that orthonormal basis functions (OBF) (Bokor et al., 1999...

2002
Haydemar Núñez Cecilio Angulo Andreu Català

In this work, a procedure for rule extraction from radial basis function (RBFN) networks is proposed. The algorithm is based on the use of a support vector machine (SVM) as a frontier pattern selector. By using geometric methods, centers of the RBF units are combined with support vectors in order to construct regions (ellipsoids or hyper-rectangles) in the input space, which are later translate...

2014
Lan Wang Yu Cheng Jinglu Hu Jinling Liang

This paper proposes a multiinput and multioutput MIMO quasi-autoregressive eXogenous ARX model and amultivariable-decoupling proportional integral differential PID controller for MIMO nonlinear systems based on the proposed model. The proposed MIMO quasi-ARX model improves the performance of ordinary quasi-ARX model. The proposed controller consists of a traditional PID controller with a decoup...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان همدان - دانشکده علوم پایه 1391

یک روش اسپکتروفتومتری ساده و حساس برای تعیین همزمان +fe3 و +mn2 با کمک شبکه های عصبی مصنوعی (anns) شرح داده شده است. این کار انجام شده بر واکنش تشکیل کمپلکس +fe3 وmn+2 با لیگاند سنتزی جدید 4 و َ4- [ (4- کلروفنیل) متیلن ]بیس(3- متیل- 1- فنیل-h1- پیرازول- 5- ال) در 7/6=ph بنا شده است. نتایج نشان دادند که نسبت مولی فلز به لیگاند کمپلکس های آهن و منگنز به ترتیب 1:1 و 1:2 می باشد. کمپلکس های رنگی بان...

2007
M. Dolores Pérez-Godoy Antonio J. Rivera María José del Jesús Ignacio Rojas

This paper presents a new cooperative-coevolutive algorithm for the design of Radial Basis Function Networks (RBFNs) for classification problems. The algorithm promotes a coevolutive environment where each individual represents a radial basis function (RBF) and the entire population is responsible for the final solution. As credit assignment three quality factors are considered which measure th...

2015
Daniele Salvati Carlo Drioli Gian Luca Foresti

We present the weighted minimum variance distortionless response (WMVDR), which is a steered response power (SRP) algorithm, for near-field speaker localization in a reverberant environment. The proposed WMVDR is based on a machine learning approach for computing the incoherent frequency fusion of narrowband power maps. We adopt a radial basis function network (RBFN) classifier for the estimati...

Journal: :Sustainability 2022

This study presents a machine learning (ML)/artificial intelligence (AI)-based perspective to reliably predict and enhance the treatment efficiency of landfill leachate by classical-Fenton (c-Fenton) photo-Fenton (p-Fenton) processes. experiment also sought lower costs evaluating impact using different numbers UV-c (254 nm) lamps during p-Fenton processes, as well develop sustainable process de...

Journal: :Int. J. Systems Science 1999
Paul J. Craven Robert Sutton Roland S. Burns Yong-Ming Dai

The dynamic characteristics of autonomous underwater vehicles (AUVs) present a control problem that classical methods cannot often accommodate easily. Fundamentally, AUV dynamics are highly non-linear, and the relative similarity between the linear and angular velocities about each degree of freedom means that control schemes employed within other flight vehicles are not always applicable. In s...

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