A fuzzy Actor–Critic reinforcement learning network
2007年9月15日 · Based on this analysis, we propose a new fuzzy Actor–Critic reinforcement learning network (FACRLN) including a system architecture and a learning algorithm based on …
Fuzzy radial basis function network: a parallel design
2004年7月31日 · The fuzzy radial basis function (FRBF) network comprises an integration of the principles of a radial basis function (RBF) network and the fuzzy c-means (FCM) algorithm. A …
Fuzzy radial basis function network for fuzzy regression with …
2016年5月2日 · In this section, we propose a FRBF Network approach for FR model with fuzzy input and fuzzy output which are symmetric or nonsymmetric TFNs. Our proposed FRBF …
FRBF: A Fuzzy Radial Basis Function Network - Springer
The FRBF network is designed by integrating the principles of a radial basis function network and the fuzzy c-means algorithm. The architecture of the network is suitably modified at the hidden …
Fuzzy Radial Basis Function Neural Networks with information ...
2014年2月16日 · Fuzzy Radial Basis Function Neural Networks (FRBFNNs) are designed by integrating the ideas of a Radial Basis Function Neural Network (RBFNN) and the Fuzzy C …
FRBF: A fuzzy radial basis function network - ResearchGate
2001年12月1日 · In this paper new methods based on Radial Basis Function (RBF) and Fuzzy Radial Basis Function (FRBF) are used to solve the problem of text classification, where a set …
A Minimal Fuzzy Radial Basis Function Neural Network For …
Abstract: This work attempts to develop an intelligent decision support system for identification of digital signal type of multilevel magnitude based on fuzzy radial basis function (FRBF) neural …
[1603.06541] A Comparison Study of Nonlinear Kernels - arXiv.org
2016年3月21日 · Abstract: In this paper, we compare 5 different nonlinear kernels: min-max, RBF, fRBF (folded RBF), acos, and acos-$\chi^2$, on a wide range of publicly available datasets. …
Energy Efficiency Prediction Based on PCA-FRBF Model: A Case …
2016年2月19日 · This paper proposes an improved radial basis function neural network based on fuzzy C-means (FCM) algorithm integrated with principal component analysis (PCA) …
The FRBF network is designed by integrating the principles of a radial basis function network and the fuzzy c-means algorithm. The architecture of the network is suitably modified at the hidden …