Search Results - subject:"Radial basis function"

Multi-objective evolutionary algorithm for donor–recipient decision system in liver transplants

Cruz-Ramı´rez, Manuel; Hervás-Martı´nez, César; … - In: European Journal of Operational Research 222 (2012) 2, pp. 317-327

This paper reports on a decision support system for assigning a liver from a donor to a recipient on a waiting-list that maximises the probability of belonging to the survival graft class after a year of transplant and/or minimises the probability of belonging to the non-survival graft class in...

Persistent link: https://www.econbiz.de/10011052800

Neural networks‐based adaptive robust control of crawler‐type mobile manipulators using sliding mode approach

Wang, Yaonan; Wu, Xiru - In: Industrial Robot: An International Journal 39 (2012) 3, pp. 260-270

Purpose – The purpose of this paper is to present the radial basis function (RBF) networks‐based adaptive robust …

Persistent link: https://www.econbiz.de/10014832146

A NEW RBF NEURAL NETWORK FOR PREDICTION IN INDUSTRIAL CONTROL

TELMOUDI, ACHRAF JABEUR; TLIJANI, HATEM; NABLI, LOTFI; … - In: International Journal of Information Technology & … 11 (2012) 04, pp. 749-775

A novel neural architecture for prediction in industrial control: the 'Double Recurrent Radial Basis Function network … method, a simple architecture is proposed consisting of two simple Recurrent Radial Basis Function networks (RRBF). Each RRBF … the Radial Basis Function (RBF) nodes. The K-means unsupervised learning algorithm used for the hidden layer is enhanced …

Persistent link: https://www.econbiz.de/10010569693

A radial basis function neural network based approach for the electrical characteristics estimation of a photovoltaic module

Bonanno, F.; Capizzi, G.; Graditi, G.; Napoli, C.; … - In: Applied Energy 97 (2012) C, pp. 956-961

to keep in account the change of all the parameters at different operating conditions. Radial basis function neural …

Persistent link: https://www.econbiz.de/10010702509

A new strategy for predicting short-term wind speed using soft computing models

Haque, Ashraf U.; Mandal, Paras; Kaye, Mary E.; Meng, Julian - In: Renewable and Sustainable Energy Reviews 16 (2012) 7, pp. 4563-4573

), a radial basis function neural network (RBFNN), and an adaptive neuro-fuzzy inference system (ANFIS). The forecasting …

Persistent link: https://www.econbiz.de/10010664557

Bayesian adaptive combination of short-term wind speed forecasts from neural network models

Li, Gong; Shi, Jing; Zhou, Junyi - In: Renewable Energy 36 (2011) 1, pp. 352-359

network models, namely, adaptive linear element network (ADALINE), backpropagation (BP) network, and radial basis function …

Persistent link: https://www.econbiz.de/10010804408

An efficient approach for electric load forecasting using distributed ART (adaptive resonance theory) & HS-ARTMAP (Hyper-spherical ARTMAP network) neural network

Cai, Yuan; Wang, Jian-zhou; Tang, Yun; Yang, Yu-chen - In: Energy 36 (2011) 2, pp. 1340-1350

capabilities of multi-layer perceptions. The HS-ARTMAP, a hybrid of an RBF (Radial Basis Function)-network-like module which uses …

Persistent link: https://www.econbiz.de/10010811533

Modelling water droplet movement on a leaf surface

Oqielat, Moa’ath N.; Turner, Ian W.; Belward, John A.; … - In: Mathematics and Computers in Simulation (MATCOM) 81 (2011) 8, pp. 1553-1571

Modelling droplet movement on leaf surfaces is an important component in understanding how water, pesticide or nutrient is absorbed through the leaf surface. A simple mathematical model is proposed in this paper for generating a realistic, or natural looking trajectory of a water droplet...

Persistent link: https://www.econbiz.de/10010749662

A study on the modified components of Asian Currency Unit: an application of the Artificial Neural Network

Chen, Jo-Hui; Fang, Yen-Po - In: Quality & Quantity: International Journal of Methodology 45 (2011) 2, pp. 329-347

Persistent link: https://www.econbiz.de/10009396505

New kernel methods for asset pricing: application to natural gas price prediction

Hu, Yinan; Trafalis, Theodore B. - In: International Journal of Financial Markets and Derivatives 2 (2011) 1/2, pp. 106-120

Natural gas prices show a non-linear, non-stationary, and time variant behaviour. In this study, we build a regression function for daily natural gas prices using ε-SVR and v-SVR and experiment with different kernels. We compare the proposed methods with artificial neural networks, RBF networks...

Persistent link: https://www.econbiz.de/10010691805