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
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Journal ArticleDOI
Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks
TL;DR: In this article, three networks are compared for low false alarm stock trend prediction: time delay, recurrent, and probabilistic neural networks (TDNN, RNN, and PNN), utilizing conjugate gradient and multistream extended Kalman filter training for TDNN and RNN.
Journal ArticleDOI
Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network
TL;DR: The simulation results reveal that the combination of S-Transform and PNN can effectively detect and classify different PQ events and it is found that the classification performance of PNN is better than both FFML and LVQ.
Journal ArticleDOI
The use of data mining and neural networks for forecasting stock market returns
David Enke,Suraphan Thawornwong +1 more
TL;DR: An information gain technique used in machine learning for data mining to evaluate the predictive relationships of numerous financial and economic variables is introduced and shows that the trading strategies guided by the classification models generate higher risk-adjusted profits than the buy-and-hold strategy.
Journal ArticleDOI
Data analysis for electronic nose systems
TL;DR: This review covers aspects of analysis from data normalisation methods to pattern recognition and classification techniques, and focuses on the use of artificial intelligence techniques such as neural networks and fuzzy logic for classification and genetic algorithms for feature (sensor) selection.
References
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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.
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