digital neural network architecture
A Mixed-Signal Feed-Forward Neural Network Architecture Using A High-Resolution Multiplying D/A Conversion Method
... a neural network hardware, multipliers usually consume the largest portion of space on the ...in digital specially require a large amount of circuitry because of the parallel nature of computational ...
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A VLSI architecture for neural network chips
... well-known digital implementation is the W ISARD machine, developed by Aleksander and his ...WISARD architecture (W ilkie, Stoneham, Alek- sander Recognition Device) is an adaptive pattern recognition ...
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An Overview of Convolutional Neural Network: Its Architecture and Applications
... Convolutional Neural Networks (CNNs) are usually employed in image recognition ...This network had over thirty layers. The performance of convolutional neural networks on the ImageNet tests was near ...
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A Study on Digital Recognition using Neural Network
... recognition: Neural Network is a network of non-linear system that may be characterized according to a particular network ...popular architecture Of Neural Networks used in ...
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A Hybrid Neural Network Architecture for Texture Analysis in Digital Image Processing Applications
... Some common methods of texture analysis are also documented, with spatial grey level dependence matrices being chosen to act as a feature generator for classification by a back-[r] ...
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Architectures and Design of VLSI Machine Learning Systems
... reconfigurable digital neuromorphic processor (DNP) architecture for large-scale spiking neural networks is presented in [34]- [48], which supports spike timing dependent plasticity (STDP) learning ...
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Architecture of the Extended-Input Binary Neural Network and Applications
... present neural network is expected to be faster than a corresponding register machine which is the prototype of all digital ...this neural network is to reproduce or copy the input ...
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Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ...
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Online Full Text
... Experiments yielded that S-LVQ with its simple configuration as showed in Table 2 give a standard level of performance for wood defect. As stated earlier, the spiking neural network still lack of good ...
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From Visuo-Motor Development to Low-level Imitation
... how a neural network architecture could learn by im-.. itation sequences of actions based on a reex sensory-.[r] ...
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Predicting the Daily Efficiency of Tehran Stock Share Price by Using of Artificial Neural Networks, Cascade Forward
... best neural network and the mean square error function, correlation coefficient (R), the precision of network for training data and test of each network are ...the architecture of ...
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Deep Kernel based Convolutional Neural Networks for Image Recognition
... in neural network the high level reasoning is done via fully connected layers, after several convolutional layer and max pooling ...Convolutional neural networks use three basic ideas: local ...
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A Neural Network Architecture for Multilingual Punctuation Generation
... the architecture has the advantage to operate on se- quences of word forms, without any additional syn- tactic or acoustic features. This tool could be used for ASR (Tilk and Alum¨ae, 2015) and grammatical error ...
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Convolutional neural network as an architecture for deep learning
... Then neural networks are ...some architecture for deep learning are ...important architecture for deep learning is convolutional neural network and we will hold on to ...
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Diagnosing angina using a simple neural network architecture
... There has been some work with multi-layer percep- trons in chest pain diagnosis and some workers have shown some good results with these (9,10,16). How- ever, most of the work has had to use ECG and biochemical markers ...
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Adaptive complex modified probabilistic neural network in digital channel equalization
... ADAPTIVE COMPLEX MODIFIED PROBABILISTIC NEURAL NETWORK IN DIGITAL CHANNEL EQUALIZATION.. James P.[r] ...
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Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm
... modeling architecture for ANN and a novel machine-learning algorithm for extracting rules from databases by means of genetic genetic algorithm have been presented in this ...classical architecture of ANN, ...
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... of network, the Generalized Regression Neural Network ...of neural network architecture and weights by mutation based genetic ...optimized neural network ...
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Network digital evidences centralization by using honeynet architecture
... Since digital evidence has often been very effective and important, the legislative and legal authorities in each country have gradually put more credence to digital ...of digital evidence. ...
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A general purpose intelligent surveillance system for mobile devices using deep learning
... a neural network using Deep Learning ...the architecture design of the convolutional neural network is presented and analyzed in the context of the four selected architectures (two of ...
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