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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A fuzzy system for concrete bridge damage diagnosis
Zhiye Zhao,Chuanyu Chen +1 more
TL;DR: A fuzzy rule-based inference system for bridge damage diagnosis and prediction which aims to provide bridge designers with valuable information about the impacts of design factors on bridge deterioration is presented.
Journal ArticleDOI
Empirical Wavelet Transform Based Features for Classification of Parkinson’s Disease Severity
TL;DR: Experimental results demonstrated that the proposed approach had the ability to differentiate PD from non-PD subjects, including their severity level – with classification accuracies of more than 90% using EWT/EWPT-ELM based on signals from motion and audio sensors respectively.
Journal ArticleDOI
Automated diagnosis of Age-related Macular Degeneration using greyscale features from digital fundus images
Muthu Rama Krishnan Mookiah,U. Rajendra Acharya,Joel En Wei Koh,Vinod Chandran,Chua Kuang Chua,Jen Hong Tan,Choo Min Lim,E. Y. K. Ng,Kevin Noronha,Louis Tong,Augustinus Laude +10 more
TL;DR: An automated dry AMD detection system using various entropies, Higher Order Spectra bispectra features, Fractional Dimension features, and Gabor wavelet features extracted from greyscale fundus images can be used for mass fundus image screening and aid clinicians by making better use of their expertise on selected images that require further examination.
Journal ArticleDOI
Combination of hyperbolic functions for multimodal biometrics data fusion
Kar-Ann Toh,Wei-Yun Yau +1 more
TL;DR: This work proposes a network model to generate different combinations of the hyperbolic functions to achieve some approximation and classification properties to circumvent the iterative training problem as seen in neural network learning.
IJCSI Publicity Board 2010
TL;DR: This paper presents a systematic analysis of a variety of different ad hoc network topologies in terms of node placement, node mobility and routing protocols through several simulated scenarios.
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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