Probabilistic Neural Network (PNN)
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)
... 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
... 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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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
... 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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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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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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Using Radial Basis Probabilistic Neural Network for Speech Recognition
... new probabilistic neural network (PNN) that uses a competitive function for its transfer function such as VQ ...this network overcomes all other pattern classifiers in recognition of Persian ...
Load Identification Using Harmonic Based on Probabilistic Neural Network
... Due to increase power quality which are caused by harmonic distortion it could be affected malfunction electrical equipment. Therefore, identification of harmonic loads become importantattention in the power system. ...
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A Fuzzy Probabilistic Neural Network for Student’s Academic Performance Prediction
... a Probabilistic Neural Network hybridized with fuzzy logic to predict students’ performance and to classify them according to their similar ...characteristics. Probabilistic Neural ...
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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 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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A modified probabilistic neural network (PNN) for nonlinear time series analysis
... The main purpose of this paper is to show how the Probabilistic Neural Network (PNN) architecture proposed by Specht can be easily adapted for nonlinear time series analysis[r] ...
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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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THE REVIEW OF CLASSIFICATION OF BRAIN TUMOR IN MRI USING PROBABILISTIC NEURAL NETWORK
... A probabilistic neural network (PNN) is a feed forward neural network, resulting from the Bayesian network and a statistical ...forward network which includes four layers ...
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The Use of Probabilistic Neural Network and ID3 Algorithm for Java Character Recognition
... [email protected] Abstract— Java character is the character that is used especially in Java island, Indonesia. Java character has a special form of writing consist of basis characters, vowels, complementary, etc. In ...
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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
... 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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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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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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