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
Multi-mode Damage Detection Methods with Piezoelectric Wafer Active Sensors
Lingyu Yu,Victor Giurgiutiu +1 more
TL;DR: In this paper, the results obtained by using PWAS transducers for structural health monitoring (SHM) and non-destructive evaluation (NDE) can be used in the design of active SHM systems to be embedded on operational structures such as aircraft panels.
BookDOI
Computational Intelligence in Automotive Applications
TL;DR: The Mobility control module manages this relationship by constantly updating the list of Lane Segments for a particular Lane Element based on real-time sensing of the lane position and curvature.
Journal ArticleDOI
Computer-aided diagnosis for the identification of breast cancer using thermogram images: A comprehensive review
U. Raghavendra,Anjan Gudigar,Tejaswi N. Rao,Edward J. Ciaccio,Eddie Y. K. Ng,U. Rajendra Acharya,U. Rajendra Acharya,U. Rajendra Acharya +7 more
TL;DR: The quantitative and qualitative performances of machine learning based approaches, which include segmentation based and feature extraction based methods, dimensionality reduction, and various classification schemes, as proposed in the literature are explored.
Book ChapterDOI
Cryptography and Cryptanalysis Through Computational Intelligence
TL;DR: The experimental results reported suggest that problem formulation and representation are critical determinants of the performance of Computational Intelligence methods in cryptography, and since strong cryptosystems should not reveal any patterns of the encrypted messages or their inner structure, it appears that Computational intelligence methods can constitute a first measure of the cryptos System’ security.
Journal ArticleDOI
A two-step neural-network based algorithm for fast image super-resolution
TL;DR: An optimal distance-based weighted interpolation of the image sequence is performed using a new neural architecture, hybrid of a multi-layer perceptron and a probabilistic neural network, trained on synthetic image data, providing noticeable improvements over lens-detector Wiener restorations.
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