neural networks based technique
Artificial Intelligence Technique for Speech Recognition Based on Neural Networks
... recognition based on sophisticated ...artificial neural networks, As a result; when building a signal processing system, the structure of the network should be selected; according to parameters of ...
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A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System
... language based on the various features of an ...extraction technique, for measuring the similarity between the target image and the images in the ...logic based techniques and proposes a ...
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NEURAL NETWORK BASED REGRESSION TESTING
... prioritizing technique based on neural ...automated. Neural networks can be trained to automate the prioritization of test ...of neural networks in test case ...
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Edge Preserving Image Compressor (EPIC) in Medical Image Using Dynamic Associative Neural Networks
... intensive based web application have not only sustained the need for more efficient ways to encode signals and images but have made compression of such signal central to storage and communication ...propagation ...
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Segmentation of Lung Images using Region Based Neural Networks
... processing based methods, for example,segmentation based on thresholding, morphological based operations on opening and closing, detection of border its thinning and its ...thresholding based ...
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An agent based method for predicting monthly maximum & minimum quote prices
... one technique or combination of techniques has been successful enough to consistently "beat the ...artificial neural networks (ANNs), researchers and investors are hoping that the market ...
8
Neural Networks in power system operation and control
... Artificial Neural Networks (ANN) technique plays an important ...This technique is used in this work to perform important tasks encountered in Photovoltaic systems and in Wind Energy Systems: ...
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Mathematical frameworks for oscillatory network dynamics in neuroscience
... mathematical technique for analysing networks of neural os- cillators, whether they be built from single neuron or neural mass models, has been that of weakly coupled oscillator theory, as ...
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A review on Compressing Image Using Neural Network techniques
... compression technique which utilizes the back propagation neural network and also combining the Levenberg-Marquardt concept with ...network based upon the complexness of the value of ...propagation ...
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A Survey on Radiological Image Processing
... algorithm based on textural features [19] and Neural Network [20] to separate the targeted images from ...Propagation Neural Network is created, and lastly, it modifies the weight number of network, ...
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Convolutional Neural Networks in Application to Segmentation of Fingerprint Images
... Abstract. Segmentation of fingerprint images is one of the most important problems concerned with automatic biometric identification system. Segmentation is used to separate the area of the fingerprint (foreground) from ...
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Channel Estimation Technique for STBC coded MIMO System with Multiple ANN Blocks
... estimation technique is carried out using Recurrent Neural Network (RNN) for MIMO ...estimation technique has been proposed with feedback RNN for STBC- MIMO systems over Rayleigh fading ...This ...
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... In this paper, a smoothing algorithm for training neural networks is proposed. Specifically, we apply a smooth function to approximate functions and use this smoothing technique twice, once to ...
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Review of Deep Neural Network Based on Auto encoder
... The De-noising Auto-Encoder (DAE) was proposed by Vincent et al. in 2008 [6]. The main idea of DAE is to first perform a corruption on the input vector, then encode and decode the input vector based on the ...
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Impact of Earnings per Share on Market Price of Share with Special Reference to Selected Companies Listed on NSE
... loosely based on interpretation of information processing and communication patterns in a nervous system, such as neural coding which attempts to define a relationship between various stimuli and associated ...
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Intrusion Detection System Using Hybrid Approach by MLP and K-Means Clustering
... a technique in which first step is to divide the large amount of data into small subset of ...of neural network set is ...some neural networks inherent ...this technique frequency ...
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An Introduction to Neural Networks - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... This book grew out of a set of course notes for a neural networks module given as part of a Masters degree in "Intelligent Systems". The people on this course came from a wide variety of ...
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Artificial Intelligence Applications and Future Research Directions
... AI based factors; DL is specified as ANN with composite ...is based on its ...than networks to state difficult models, with computing power to train and with automatic feature ...
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Neural Networks - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... a neural network? Figure 22 shows how a neural network can be embedded in the ...the neural network: the collision sensors to nodes in the collision layer, the proximity sensors to nodes in the ...
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Deep convolutional neural networks capabilities for
... for the detection of MCs based on the use of deep convolutional neural networks (DCNNs).. We.[r] ...
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