Adaptive Pattern Recognition Using Artificial Neural Networks
Activity recognition in adaptive assistive systems using artificial neural networks
... of artificial neural networks ...posture recognition, body posture recognition and usual activities recognition like: lying on various sides, sitting, standing, walking, running, ...
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Pattern Recognition in Medical Images using Neural Networks. 1. Pattern Recognition and Neural Networks
... sense, neural networks are extremely useful, since not only are they capable of recognizing patterns with the aid of the expert, but also of generalizing the information contained in the input data, thus ...
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Pattern Classification using Artificial Neural Networks
... 3.2 Artificial Neural Networks Classification is a data mining (machine learning) technique used to predict group membership for data ...tion, neural networks are being introduced. ...
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Face Recognition using Artificial Neural Networks
... Keywords: Artificial neural networks, Back propagation neural networks (BPNN), Principal component analysis (PCA), Viola Jones ...slight recognition of a particular person will ...
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Pattern Recognition Using Spiking Neural Networks
... spiking neural networks for image classification of the handwritten digit of the MNIST ...an adaptive threshold applied to guarantee the equal chance of winning the competition among ...
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Handwritten Character Recognition Using Artificial Neural Networks
... Je možné, že se ve výsledku objeví více těchto hodnot, většinou na místech znaků, které jsou si podobné (nebo se tak jeví neuronové síti), nebo jsou hodnoty příliš nízké.. Výsledným znak[r] ...
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Human Body Posture Recognition using Artificial Neural Networks
... Action acknowledgment is the path toward naming exercises, for the most part in the direct kind of a movement verb, using unmistakable discernments. Indeed, an action is a progression of advancements made by a ...
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Optical Character Recognition Using Artificial Neural Networks Approach
... many recognition task have been automated. OCR, Optical Character Recognition is a scheme of converting the images of typewritten or printed text into a format that is understood by ...the ...
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An Indian Coin Recognition System Using Artificial Neural Networks
... Keywords- Artificial Intelligence, Image Processing, Artificial Neural ...Coin recognition is one of the emerging research fields in modren ...coin recognition system in our daily ...
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Using Neural Networks to Create an Adaptive Character Recognition System
... all using Tablet computers, accurate hand writing recognition is clearly a difficult problem to ...Unistroke recognition algorithms, like the popular Graphiti used on Palm devices require the user to ...
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Adaptive Activation Functions For Artificial Neural Networks
... an adaptive approach which is depicted in ...gating pattern. The result of the gating pattern and input signals is presented to a SoftPlus function to form the joining coefficient with f lrelu · ...
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Artificial Neural Network Circuit for Spectral Pattern Recognition
... classification using reflectance ...leaves. Using the hardware approach to ANN can help save time as they can perform real-time processing after collecting the data to classifying the plant as healthy or ...
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Pattern recognition for manufacturing process variation using ensembled artificial neural network
... systematic pattern is evident, it can be conclude that the process was in control in the past, and the trial control limits are suitable for controlling current or future ...
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Optimal recognition method of human activities using artificial neural networks
... between recognition accuracy and fewer hardware resources and/or preprocessing ...overall recognition accuracy over 97 % without any preprocessing using 5 sensors like those in ...a ...
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Face Recognition and Feature Detection Using Artificial Neural Networks and ANFIS
... An RBF is a three layer network: 1) the input layer of size equal to the input vector size ; 2) the output layer of size ; and 3) one hidden layer. The number of nodes in the hidden layer corresponds to the number of ...
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Feature based 3D Object Recognition using Artificial Neural Networks
... the recognition of 3D objects as a challenging ...fingerprint recognition, medical diagnosis and detection of abnormal cells that may indicate cancer, remote sensing for automated recognition of ...
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Recognition of Correct Pronunciation for Arabic Letters Using Artificial Neural Networks
... Phenome recognition system consists of three different phases: Digital signal processing, voice features extraction and neural networks for ...
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Efficient computation in adaptive artificial spiking neural networks
... the networks to convert the inputs into ...usually using SoftMax: at every time-step t the output with highest value is considered the result of the ...
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Pattern recognition for manufacturing process variation using statistical features artificial neural network
... 6 statistical control. In other words, the chance causes are an inherent part of the process. Other kinds of variability may occasionally be present in the output of a process. This variability in key quality ...
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Design of an artificial neural network pattern recognition scheme using full factorial experiment
... In developing a pattern recognition scheme for multivariate quality control application, proper selection of design parameters of an ANN model classifier is important toward[r] ...
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