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
iRSpot-GAEnsC: identifing recombination spots via ensemble classifier and extending the concept of Chou's PseAAC to formulate DNA samples.
Muhammad Kabir,Maqsood Hayat +1 more
TL;DR: The empirical results revealed that the performance of iRSpot-GAEnsC is not only higher than the examined algorithms but also better than existing methods in the literature developed so far, which is anticipated that the proposed model might be helpful for research community, academia and for drug discovery.
Posted Content
Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition
TL;DR: The characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification method, applied on Handwritten DevNagari characters are discussed.
Journal ArticleDOI
A new class of hybrid models for time series forecasting
Mehdi Khashei,Mehdi Bijari +1 more
TL;DR: Empirical results with three well-known real data sets indicate that the proposed model can be an effective way to construct a more accurate hybrid model than its basis time series model, and can be used as an appropriate alternative model for forecasting tasks, especially when higher forecasting accuracy is needed.
Journal ArticleDOI
Automatic vessel lumen segmentation and stent strut detection in intravascular optical coherence tomography.
Stavros Tsantis,George C. Kagadis,Konstantinos Katsanos,Dimitris Karnabatidis,George C. Bourantas,George Nikiforidis +5 more
TL;DR: A robust automatic segmentation technique integrating textural and edge information for vessel lumen border extraction and strut detection in intravascular OCT images was designed and presented and may be employed for automated quantitative morphological analysis of in-stent neointimal hyperplasia.
Journal ArticleDOI
Mineral Favorability Mapping: A Comparison of Artificial Neural Networks, Logistic Regression, and Discriminant Analysis
DeVerle P. Harris,Guocheng Pan +1 more
TL;DR: In this paper, a Probabilistic Neural Network (PNN) was trained to classify mineralized and nonmineralized cells using eight geological, geochemical, and geophysical variables.
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