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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Proceedings ArticleDOI
Classification of brain tumors using PCA-ANN
TL;DR: Test results show that the PCA-ANN approach has enhanced the overall accuracy of ANN from 72.97 % to 95.37% and the proposed method has delivered a high accuracy for each class.
Effect of Resolution and Image Quality on Combined Optical and Neural Network Fingerprint Matching | NIST
TL;DR: Fourier transform matching and neural networks can be used to match fingerprints which have too low image quality to be matched using minutia-based methods, and this is the largest test to date of FT matching for fingerprints.
Journal ArticleDOI
Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteins
H. Li,Chun Wei Yap,Choong Yong Ung,Ying Xue,Ying Xue,Z. R. Li,Z. R. Li,Lianyi Han,Honghuang Lin,Yu Zong Chen +9 more
TL;DR: This article is intended to review the strategies, current progresses and underlying difficulties in using machine learning methods for predicting protein binders and as potential virtual screening tools.
Journal ArticleDOI
Artificial neural networks modeling for hydrocarbon gas viscosity and density estimation
TL;DR: This work is aimed at developing new models for gas viscosity and gas density using generalized regression neural (GRN) networks using a large database of experimental measurements gathered from the literature and used to develop and test the models.
Journal ArticleDOI
Discrimination of quarry blasts and earthquakes in the vicinity of Istanbul using soft computing techniques
TL;DR: The purpose of this article is to demonstrate the use of feedforward neural networks, adaptive neural fuzzy inference systems, and probabilistic neural networks to discriminate between earthquakes and quarry blasts in Istanbul and vicinity (the Marmara region).
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.
Journal ArticleDOI