Results 11 to 20 of about 11,022,240 (248)

Identification of Nonlinear Systems Using Radial Basis Function Neural Network [PDF]

, 2014
This paper uses the radial basis function neural network (RBFNN) for system identification of nonlinear systems. Five nonlinear systems are used to examine the activity of RBFNN in system modeling of nonlinear systems; the five nonlinear systems are ...
Pislaru, Crinela, Shebani, Amer
core   +4 more sources

Orthogonal least squares algorithm for training multi-output radial basis function networks [PDF]

, 1991
A constructive learning algorithm for multioutput radial basis function networks is presented. Unlike most network learning algorithms, which require a fixed network structure, this algorithm automatically determines an adequate radial basis function ...
S. Chen, Cowan, C. F. N., Chen, Sheng, Grant, P. M., P.M. Grant, C.F.N. Cowan, Cowan, C.F.N., Grant, P.M., Chen, S.   +8 more
core   +1 more source

Lazy training of radial basis neural networks [PDF]

, 2006
Proceeding of: 16th International Conference on Artificial Neural Networks, ICANN 2006. Athens, Greece, September 10-14, 2006Usually, training data are not evenly distributed in the input space.
Galván, Inés M., Inés M. Galván, Pedro Isasi, José M. Valls, Valls, José M., Isasi, Pedro   +5 more
core   +1 more source

Radial basis function neural networks: a topical state-of-the-art survey

Open Computer Science, 2016
Radial basis function networks (RBFNs) have gained widespread appeal amongst researchers and have shown good performance in a variety of application domains. They have potential for hybridization and demonstrate some interesting emergent behaviors.
Dash Ch. Sanjeev Kumar, Behera Ajit Kumar, Dehuri Satchidananda, Cho Sung-Bae   +3 more
doaj   +1 more source

Construction of tunable radial basis function networks using orthogonal forward selection

, 2009
An orthogonal forward selection (OFS) algorithm based on leave-one-out (LOO) criteria is proposed for the construction of radial basis function (RBF) networks with tunable nodes.
Harris, C. J., Hong, Xia, Luk, B. L., Chen, Sheng, Hong, X., Harris, Chris J., Chen, S., Luk, Bing L.   +7 more
core   +2 more sources

A Proposed Method For Selecting The Clustering Algorithm In Radial Basis Function [QA223. A581 2008 f rb]. [PDF]

, 2008
Rangkaian Fungsi Asas Radial telah digunakan dengan meluas untuk menganggarkan dan mengelaskan data. Model biasa bagi Fungsi Asas Radial menentukan pusat, Radial Basis Function Networks have been widely used to approximate data and classify data.
Ang, Sau Loong
core   +1 more source

Grey-box radial basis function modelling

, 2011
A fundamental principle in data modelling is to incorporate available a priori information regarding the underlying data generating mechanism into the modelling process.
Xia Hong, Hong, Xia, Sheng Chen, Chris J. Harris, Chen, Sheng, Harris, Chris J., Harris, Chris   +6 more
core   +2 more sources

Radial Basis Function Neural Network Model for Dissolved Oxygen Concentration Prediction Based on an Enhanced Clustering Algorithm and Adam

IEEE Access, 2021
In fishery aquaculture, water quality directly determines the economic benefits of aquatic products, and dissolved oxygen is an important factor affecting water quality.
Dashe Li, Xueying Wang, Jiajun Sun, Yanli Feng   +3 more
doaj   +1 more source

Radial Basis Function Networks for Conversion of Sound Spectra

EURASIP Journal on Advances in Signal Processing, 2001
In many advanced signal processing tasks, such as pitch shifting, voice conversion or sound synthesis, accurate spectral processing is required. Here, the use of Radial Basis Function Networks (RBFN) is proposed for the modeling of the spectral changes ...
Carlo Drioli
doaj   +1 more source

Organisms modeling: The question of radial basis function networks

ITM Web of Conferences, 2014
There exists usually a gap between bio-inspired computational techniques and what biologists can do with these techniques in their current researches. Although biology is the root of system-theory and artifical neural networks, computer scientists are ...
Muzy Alexandre, Massardier Lauriane, Coquillard Patrick   +2 more
doaj   +1 more source