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Probabilistic Neural Network

On topological properties of probabilistic neural network

On topological properties of probabilistic neural network

... Abstract A graphical invariant is a real number related to a graph which is fixed under the graph isomorphism. In chemical graph theory, these invariants are also called topological indices and these are play a vital ...

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Speech Recognition Using the Probabilistic Neural Network

Speech Recognition Using the Probabilistic Neural Network

... The Probabilistic Neural Network, introduced by Donald Specht in 1988, is a 3-layer, feed-forward, one- pass training algorithm used for classification and mapping of data ...back-propagation ...

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Offline Signature Verification through Probabilistic Neural Network

Offline Signature Verification through Probabilistic Neural Network

... Probabilistic Neural Network Rather than ordinary matching approaches that are based on similarity matching concept, there is another popular method used for classification which the idea is to ...

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Face Detection Using Probabilistic Neural Network (PNN)

Face Detection Using Probabilistic Neural Network (PNN)

... Probabilistic Neural Network (PNN) Probabilistic neural networks can be used for classification problems (i.e. face detection). When an input is presented, the first layer computes ...

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Brain Tumor Classification using Probabilistic Neural Network

Brain Tumor Classification using Probabilistic Neural Network

... paper, Probabilistic Neural Network with image and data processing techniques was employed to implement an automated brain tumor ...the Probabilistic Neural Network ...

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Probabilistic Neural Network Assisted Cell Tracking and Classification

Probabilistic Neural Network Assisted Cell Tracking and Classification

... Index Terms—cell tracking, probabilistic neural network, Back Propagation Neural Network, KNN I. Introduction In recent years, as microscopy imaging technology has been improved and ...

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Detection of Network Intrusion Threat Based on the Probabilistic Neural Network Model

Detection of Network Intrusion Threat Based on the Probabilistic Neural Network Model

... the network at a low cost without professional knowledge ...malicious network attacks. Therefore, network intrusion detection is getting more and more attention with the development of ...to ...

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Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network

Fingerprint Classification Using Kernel Smoothing Technique and Generalized Regression Neural Network and Probabilistic Neural Network

... Abstract: Fingerprint classification is a significant process by which identification procedure can be accelerated. Feature extraction might be afflicted with rotation. Thus, all images get through an introduced ...

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A probabilistic neural network based image segmentation network for magnetic resonance images

A probabilistic neural network based image segmentation network for magnetic resonance images

... The feature vectors are then passed to the iterative segmentation layer, where they become inputs to the probabilistic neural network (P") units which have been previously tra[r] ...

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Load Identification Using Harmonic Based on Probabilistic Neural Network

Load Identification Using Harmonic Based on Probabilistic Neural Network

... For that, in this research is to identification harmonics at non-linier loads by using analysis of fast faurier transform, then do classification of load type having certain harmonics by using probabilistic ...

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Cancer Risk Analysis Based on Improved Probabilistic Neural Network

Cancer Risk Analysis Based on Improved Probabilistic Neural Network

... Yang et al. Improved Probabilistic Neural Network FIGURE 2 | The workflow of the proposed algorithm for predicting patients’ disease development. Among these features, four of them, namely SS_SURG, ...

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Image Based Face Detection Using Probabilistic Neural Network

Image Based Face Detection Using Probabilistic Neural Network

... using probabilistic neural ...a Probabilistic Neural Network (PNN) was used to distinguish between face and non-face ...images. Probabilistic neural networks can be used ...

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Classification of malignant and Benign Lung Using Probabilistic Neural Network

Classification of malignant and Benign Lung Using Probabilistic Neural Network

... Keywords : Watershed transform, Gray Level Co-Occurrence Matrix, Probabilistic neural network. I. INTRODUCTION Cancer is disease that begins in cells which are the basic building blocks of a body. ...

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Using Radial Basis Probabilistic Neural Network for Speech Recognition

Using Radial Basis Probabilistic Neural Network for Speech Recognition

... other neural networks such as RBF, ARTMAP, and MLP have been tested with our ...RBF network if we modify transfer function of layer two with special linear layer and set layer weights as training data great ...
Multi-Label Classification Based on the Improved Probabilistic Neural Network

Multi-Label Classification Based on the Improved Probabilistic Neural Network

... novel neural network initialization method to treat some of the neurons in the final hidden layer as dedicated neurons for each pattern of label ...a Probabilistic Neural Network (PNN) ...

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A Fuzzy Probabilistic Neural Network for Student’s Academic Performance Prediction

A Fuzzy Probabilistic Neural Network for Student’s Academic Performance Prediction

... Keywords: Education, Fuzziness, Prediction, Retention, Student Academic Performance, Probabilistic Neural Network I. I NTRODUCTION Over a period of years, researchers have proposed various methods ...

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Center reduction algorithm for the modified probabilistic neural network equalizer

Center reduction algorithm for the modified probabilistic neural network equalizer

... (2001) Center reduction algorithm for the modified probabilistic neural network equalizer.. In: Proceedings of the International Joint.[r] ...

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Classification of Machine Fault using Principle Component Analysis, General Regression Neural Network and Probabilistic Neural Network

Classification of Machine Fault using Principle Component Analysis, General Regression Neural Network and Probabilistic Neural Network

... Regression Neural Network (GRNN) and Probabilistic Neural Network (PNN) with the previous work using Principle Component Analysis ...

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A novel approach for voltage secure operation using Probabilistic Neural Network in transmission network

A novel approach for voltage secure operation using Probabilistic Neural Network in transmission network

... a Probabilistic Neural Network (PNN) classifier that gives corrective controls available in the system in the scenario of ...enhancing neural network (VSENN) classifier, for training ...

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Face Expression Recognition using Gabor Features and Probabilistic Neural Network

Face Expression Recognition using Gabor Features and Probabilistic Neural Network

... Filter, Probabilistic Neural network (PNN) and Principal Component Analysis ...The Probabilistic Neural network (PNN) is used as a classifier for classifying the expressions of ...

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