Results 21 to 30 of about 274,124 (332)

Radial basis function network based on time variant multi-objective particle swarm optimization for medical diseases diagnosis [PDF]

, 2011
This paper proposes an adaptive evolutionary radial basis function (RBF) network algorithm to evolve accuracy and connections (centers and weights) of RBF networks simultaneously.
Qasem, Sultan Noman, Shamsuddin, Siti Mariyam   +1 more
core   +1 more source

Implementation of multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict solution gas-oil ratio of crude oil systems

Petroleum, 2020
Exact determination of pressure-volume-temperature (PVT) properties of the reservoir oils is necessary for reservoir calculations, reservoir performance prediction, and the design of optimal production conditions.
Aref Hashemi Fath, Farshid Madanifar, M. Abbasi   +2 more
semanticscholar   +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

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

Networks and the Best Approximation Property [PDF]

, 1989
Networks can be considered as approximation schemes. Multilayer networks of the backpropagation type can approximate arbitrarily well continuous functions (Cybenko, 1989; Funahashi, 1989; Stinchcombe and White, 1989).
Girosi, Federico, Poggio, Tomaso
core   +3 more sources

Equalizer Design: HBOA-DE-trained radial basis function neural networks

Egyptian Informatics Journal
Communication systems that rely on wireless technology require signal processing techniques to improve their channel performance. Wireless communications are susceptible to various signal distortions during transmission, including inter-symbol ...
Santosh Kumar Das, Satya Ranjan Pattanaik, Pradyumna Kumar Mohapatra, Saroja Kumar Rout, Abdulaziz S. Almazyad, Muhammed Basheer Jasser, Guojiang Xiong, Ali Wagdy Mohamed   +7 more
doaj   +1 more source

Human action recognition using time delay input radial basis function networks [PDF]

, 2014
This paper presents a fast, vision-based method for the problem of human action representation and recognition. The first problem is addressed by constructing an action descriptor from spatiotemporal data of action silhouettes based on appearance and ...
Abdul Halin, Izhal, Aris, Ishak, Kalhor, Davood, Moaini, Trifa   +3 more
core   +1 more source

Theoretical Interpretations and Applications of Radial Basis Function Networks [PDF]

, 2003
Medical applications usually used Radial Basis Function Networks just as Artificial Neural Networks. However, RBFNs are Knowledge-Based Networks that can be interpreted in several way: Artificial Neural Networks, Regularization Networks, Support Vector ...
Blanzieri, Enrico
core  

Reinforcement Learning using Augmented Neural Networks

, 2018
Neural networks allow Q-learning reinforcement learning agents such as deep Q-networks (DQN) to approximate complex mappings from state spaces to value functions.
Grzes, Marek, Shannon, Jack
core   +1 more source