Journal ArticleDOI
Probabilistic neural networks
TLDR
A probabilistic neural network that can compute nonlinear decision boundaries which approach the Bayes optimal is formed, and a fourlayer neural network of the type proposed can map any input pattern to any number of classifications.About:
This article is published in Neural Networks.The article was published on 1990-01-01. It has received 3772 citations till now. The article focuses on the topics: Probabilistic neural network & Activation function.read more
Citations
More filters
Journal ArticleDOI
Fault diagnosis for diesel valve trains based on time–frequency images
TL;DR: In this article, the Wigner-Ville distributions of vibration acceleration signals were calculated and displayed in grey images; and the probabilistic neural networks (PNN) were directly used to classify the time-frequency images after the images were normalized.
Journal ArticleDOI
Linear feature selection and classification using PNN and SFAM neural networks for a nearly online diagnosis of bearing naturally progressing degradations
TL;DR: The proposed methodology reveals better generalization capability compared to previous works and it is validated by an online bearing fault diagnosis and the proposed strategy can be applied for the decision making of several assets.
Journal ArticleDOI
Direct adaptive output-feedback fuzzy controller for a nonaffine nonlinear system
J.-H. Park,S.-H. Kim +1 more
TL;DR: In this article, a direct adaptive output-feedback controller for highly nonlinear systems is proposed by considering uncertain or ill-defined nonaffine nonlinear system and employing a static fuzzy logic system (FLS) with flexible structure, i.e. online variation of the number of fuzzy rules.
Journal ArticleDOI
A memristor-based long short term memory circuit
TL;DR: This work proposes a hardware implementation of LSTM system using memristor, which has proved to mimic behavior of a biological synapse and has promising properties such as smaller size and absence of current leakage among others, making it a suitable element for designing L STM functions.
Journal Article
Exploiting Neurons with Localized Receptive Fields to Learn Chaos.
TL;DR: A method for predict ing chaotic time series that can be viewed as a weighted superposit ion of linear maps or as a neural network whose hidden units have localized receptive fields that outperforms the local linear predictor of Farmer and Sidorowich for a fixed number of free parameters.
References
More filters
Journal ArticleDOI
Nearest neighbor pattern classification
Thomas M. Cover,Peter E. Hart +1 more
TL;DR: The nearest neighbor decision rule assigns to an unclassified sample point the classification of the nearest of a set of previously classified points, so it may be said that half the classification information in an infinite sample set is contained in the nearest neighbor.
Journal ArticleDOI
On Estimation of a Probability Density Function and Mode
TL;DR: In this paper, the problem of the estimation of a probability density function and of determining the mode of the probability function is discussed. Only estimates which are consistent and asymptotically normal are constructed.
Book
Introduction to the Theory of Statistics
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI
Introduction to the Theory of Statistics.
Jacob Wolfowitz,A. M. Mood +1 more
TL;DR: In this article, a tabular summary of parametric families of distributions is presented, along with a parametric point estimation method and a nonparametric interval estimation method for point estimation.
Journal ArticleDOI