probabilistic neural network approach
Face Recognition using Probabilistic Model for Locally Changed Face
... using probabilistic approach is presented, where a probabilistic approach like Naive Bayes Classifier, Neural Network Classifier are used to recognize the faces with local ...
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Comparative study of effective wind power prediction methods with optimization algorithms for optimal economic dispatch of multiple fuel power plants
... Function Network (IRBFN) and Weighted Probabilistic Neural Network (WPNN) are compared and employed to forecast a one-hour ahead wind power for ensuring reliable power ...hybrid neural ...
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Knowledge Extraction Using Probabilistic Reasoning: An Artificial Neural Network Approach
... this approach is limited as exact query matches are often ...a probabilistic approach to searching RDF ...artificial neural network algorithms, a successfully developed prototype has ...
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A Global k-means Approach for Autonomous Cluster Initialization of Probabilistic Neural Network
... This paper focuses on the statistical based Probabilistic Neural Network (PNN) for pattern classification problems with Expectation – Maximization (EM) chosen as the training algorithm. This brings ...
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Neural Network Methods for Nonparametric Probabilistic Forecasting
... of probabilistic forecasting can pro- vide significant improvements in decision-making processes in the smart power grid for better integrating renewable energies, particularly ...an approach for ...
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A comparative performance evaluation of neural network based approach for sentiment classification of online reviews
... Artificial neural net- works (ANNs) are rarely being investigated in the literature of sentiment ...compares neural network based sentiment classification methods (back propagation neural ...
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Probabilistic Neural Network Assisted Cell Tracking and Classification
... this approach is its computational efficiency with respect to segmentation, but the algorithms often encounter problems during the temporal data association stage ...such approach harder in ...
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Brain Tumor Classification using Probabilistic Neural Network
... The probabilistic neural network was developed by Donald ...This network provides a general solution to pattern classification problems by following an approach developed in statistics, ...
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Digital Modulation Classification Using the Bees Algorithm and Probabilistic Neural Network Based on Higher Order Statistics
... classification approach to be ...artificial neural networks as classifiers, outperform the ...decision-theoretic approach, have to choose the threshold for each key feature and perform with different ...
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Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network
... Artificial Neural Network (ANN) is another popular method used for classification ...an approach for rectifying the rotation of images is ...Regression Neural Network (GRNN) and ...
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Probabilistic Neural Network for User Authentication Based on Keystroke Dynamics
... fewer network net nodes when compared with combination of DT and FT ...proposed approach evidence that it is possible to improve the password security mechanism considering not just the combination of DT ...
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Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.
... The FEMA risk prioritization tool for dams is a standards-based decision-making tool for risk-based dam safety prioritization meant to be used by state dam safety regulators to identify dams that most urgently need ...
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A Competent Approach for Type of Phishing Attack Detection Using Multi-Layer Neural Network
... computer network of Internet and Intranet ...using neural network trained with ...paper approach to classify vehicles based on probabilistic neural network and features ...
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Training and classification of Epilepsy Detection using EEG
... the network are adjusted either to minimize the error between desired and computed outputs (supervised learning) else to maximize differences (or to minimize similarities) between the output categories ...
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Digital Pen for Handwritten Digit and Gesture Recognition Using Trajectory Recognition Algorithm Based On Triaxial Accelerometer-A Review
... PNN is a probabilistic neural network used as a classifier for handwritten digit and hand gesture recognition. The PNN is guaranteed to converge to a Bayesian classifier, and thus, it has a great ...
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Detection of Network Intrusion Threat Based on the Probabilistic Neural Network Model
... users’ network security from the internal and external malicious attacks, briefly introduces the probabilistic neural network and principal component analysis method, and combines them for ...
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Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... We can see what happened by looking at the adjacent diagram. The initial weight vector results in a decision boundary that incorrectly classifies the vector . We need to alter the weight vector so that it points more ...
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Face Detection Using Probabilistic Neural Network (PNN)
... of neural network technology stemmed from the desire to develop an artificial system that could perform intelligent tasks similar to those performed by the human ...brain. Neural networks resemble ...
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Modified probabilistic neural network hardware implementation schemes
... equation (4). The first design is a virtual digital design and the second a fully parallel design. This RBF selects training centres which are within a specified c[r] ...
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The modified probabilistic neural network as a nonlinear correlator detector
... A neural network can be developed to embody this model and provide a continuous nonlinear correlator output r(x) as the vector x is taken from the process signal by sliding [r] ...
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