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
A three-phase NPC grid-connected inverter for photovoltaic applications using neural network MPPT
TL;DR: A comparative study of the performances of a photovoltaic system connected to the grid using two different inverters namely the two-level inverter and the three-level Neutral Point Clamped (NPC) Voltage Source Inverter (VSI).
Journal ArticleDOI
Decision support systems for police: lessons from the application of data mining techniques to soft forensic evidence
TL;DR: It is argued that computer science technologies which can support criminal investigations are wide ranging and include geographical information systems displays, clustering and link analysis algorithms and the more complex use of data mining technology for profiling crimes or offenders and matching and predicting crimes.
Journal ArticleDOI
Heterogeneous fault diagnosis for wireless sensor networks
TL;DR: The proposed protocol consists of three phases, such as clustering phase, fault detection phase, and fault classification phase to diagnose the heterogeneous faulty nodes in the wireless sensor networks.
Patent
System and method for pain detection and computation of a pain quantification index
TL;DR: In this paper, a method of detecting pain in subject comprises of generating brain wave data based on brain wave activity of subject and comparing the brain-wave data to reference data to generate result data.
Journal ArticleDOI
Diagnosis of diabetic retinopathy using machine learning techniques
TL;DR: To diagnose diabetic retinopathy, three models like Probabilistic Neural network (PNN), Bayesian Classification and Support vector machine (SVM) are described and their performances are compared and it is inferred that the SVM model outperforms all other models.
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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