Results 31 to 40 of about 173,770 (295)
Network Intrusion Detection Based on Extended RBF Neural Network With Offline Reinforcement Learning
IEEE Access, 2021 Network intrusion detection focuses on classifying network traffic as either normal or attack carrier. The classification is based on information extracted from the network flow packets.
Manuel Lopez-Martin +3 more
doaj +1 more source
FEBS Open Bio, EarlyView.Evolutionary analysis across 32 placental mammals identified positive selection at residues H148 and W149 in the immune receptor FcγR1. Ancestral reconstruction combined with molecular dynamics simulations reveals how these mutations may influence receptor structure and dynamics, providing insight into the evolution of antibody recognition and immune ...
David A. Young +7 more
wiley +1 more source
A Divide-and-Cooperate Machine Learning Model-Based RBF With Its VC Dimension Analysis
IEEE Access, 2020 In this paper, a Divide-and-Cooperate Machine Learning Model (DCML) based Radial Basis Function Network (RBF) is constructed. This DCML is composed of several sub-RBF networks that take some variables as their inputs. The output of DCML is the sum of sub-
Rongbo Huang +3 more
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Fully supervised training of Gaussian radial basis function networks in WEKA [PDF]
, 2014 Radial basis function networks are a type of feedforward network with a long history in machine learning. In spite of this, there is relatively little literature on how to train them so that accurate predictions are obtained.
Frank, Eibe
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Neural networks based recognition of 3D freeform surface from 2D sketch [PDF]
, 2005 In this paper, the Back Propagation (BP) network and Radial Basis Function (RBF) neural network are employed to recognize and reconstruct 3D freeform surface from 2D freehand sketch.
Qin, SF, Sun, G, Wright, DK
core +1 more source
Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron +5 more
wiley +1 more source
Interpolation and Best Approximation for Spherical Radial Basis Function Networks
Abstract and Applied Analysis, 2013 Within the conventional framework of a native space structure, a smooth kernel generates a small native space, and radial basis functions stemming from the smooth kernel are intended to approximate only functions from this small native space.
Shaobo Lin, Jinshan Zeng, Zongben Xu
doaj +1 more source
Global Identification of FitzHugh-Nagumo Equation via Deterministic Learning and Interpolation
IEEE Access, 2019 Spiral wave is closely related to the occurrence of malignant ventricular arrhythmia. It is important and necessary to study the spiral wave dynamics to better analyze and control spiral waves. In this paper, the dynamics of FitzHugh-Nagumo(FHN) model is
Xunde Dong, Wenjie Si, Cong Wang
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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 +3 more
core +1 more source
Heterogeneous radial basis function networks
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 Radial basis function (RBF) networks typically use a distance function designed for numeric attributes, such as Euclidean or city-block distance. This paper presents a heterogeneous distance function which is appropriate for applications with symbolic attributes, numeric attributes, or both.
D.R. Wilson, T.R. Martinez
openaire +2 more sources