Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference onC.Park, K.Buckmann, J.Diamond, U.Santoni, S.The, M.Holler, M.Glier, C.L.Scofield, L.Nunez. A radial basis function neural network with on-chip learning. Proc. of Int. Joint Conf. on ...
aRadial Basis Function network is a two-layer feedforward neural network, including a hidden layer of radial basis functions and an output layer of linear neurons. It can approximate arbitrary function with arbitrary precision and it is particularly suitable for solving function approximation problems....
A Radial Basis Function Neural Network approach to detect novelties: Applications on health datasets 来自 Semantic Scholar 喜欢 0 阅读量: 29 作者:Cassio M. M. Pereira,RFD Mello 摘要: In this paper we propose a novelty detection approach based on radial basis function neural networks (RBFNN), ...
A radial basis function neural network was employed to model the abundance of cyanobacteria. The trained network could predict the populations of two bloom... G Hou,H Li,F Recknagel,... - 《Journal of Freshwater Ecology》 被引量: 3发表: 2006年 Object tracking by mean shift and radial bas...
Radial basis functionneural network nodes use a specific kind of mathematical function called a radial basis function. Liquid state machineneural networks feature nodes that are randomly connected to each other. Residualneural networks allow data to skip ahead via a process called identity mapping, com...
A reservoir radial-basis function neural network, which is based on the ideas of reservoir computing and neural networks and designated for solving extrapolation tasks of nonlinear non-stationary stochastic and chaotic time series under conditions of a short learning sample, is proposed in the paper....
A radial basis function neural network is used as the final classifier and variation in its structure is studied to evaluate its real-time performance. Results on speaker-dependent and speaker-independent recognition across -5 dB to 25 dB SNR range are presented and a performance evaluation is ...
Radial Basis Function Neural Network for Classi cation Problems Evolutionary Radial Basis Function Neural Networks Reference [] [] [] [] Radial basis function neural networks: a topical state-of-the-art survey 43 MATLAB³: Two functions have been implemented in MATLAB for radial basis networks....
Radial basis function neural network nodes use a specific kind of mathematical function called a radial basis function. Liquid state machine neural networks feature nodes that are randomly connected to each other. Residual neural networks allow data to skip ahead via a process called identity mapping...
Radial basis function networks use radial basis functions as activation functions. They're typically used for function approximation, time series prediction and control systems. Transformer neural networks Transformer neural networks are reshaping NLP and other fields through a range of advancements. Introdu...