neural networks-based approach
THE ROLE OF INFORMATION TECHNOLOGY ON THE GROWTH OF FIRMS: A VALUE ADDED ONSIDERATION
... pages based on their contents is useful to the search engines to give appropriate and desired data to the ...optimized approach is used for classifications of web ...Artificial Neural Network (ANN) ...
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CogALex V Shared Task: CGSRC Classifying Semantic Relations using Convolutional Neural Networks
... LSTM networks for relation classification ...LSTM- based integrated approach by combining path-based and distributional methods for hypernymy detection and shown significant accuracy ...
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DEVELOPMENT OF A COMPUTER SYSTEM FOR IDENTITY AUTHENTICATION USING ARTIFICIAL NEURAL NETWORKS
... be based on the methodology of artificial neural ...Hybrid neural networks, combining the advantages of classical neural networks and fuzzy logic systems, allow using the network ...
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A multi objective approach to evolving artificial neural networks for coronary heart disease classification
... descent based back propagation methods - however, these can be prone to premature convergence to local optima ...cial neural networks (EANNs) ...
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On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
... new approach to statistical machine trans- lation based purely on neural ...The neural machine translation models of- ten consist of an encoder and a ...the neural machine translation ...
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A Hybrid Approach for SVD and Neural Networks Based Robust Image Watermarking
... In this research paper, watermark image embedding is proposed with singular value decomposition (SVD) and Neural Networks (NN) classifier method. Firstly we take the cover image and create the watermark ...
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BLOCK FEATURE BASED IMAGE FUSION USING MULTI WAVELET TRANSFORMS
... new approach for block feature based image fusion is implemented using multi wavelet transform and neural networks and a qualitative analysis has been done for the several test image and found ...
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Computer Aided Diagnostic Approach for Melanoma Diagnosis Using Neural Networks
... community approach to determine the non-linear choice boundary separation two exclusive instructions of melanoma ...The neural networks are heuristically trained at diverse architectures starting ...
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Applications of Neural Networks in Stock Market Prediction An Approach Based Analysis
... of neural network and fuzzy inference system (FIS) in such a way that the Neural Network learning algorithm is used to find out the parameters of the ...of neural networks ...
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Low Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages
... statistical-based approach as machine trans- lation in the transliteration task for the English- Vietnamese low-resource language pair, with a performance of 63 BLEU ...was based on a statistical ...
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Convolutional Neural Networks in Application to Segmentation of Fingerprint Images
... segmentation based on convolutional neural networks, binary region labeling technique, and morphological image ...This approach was tested on public fingerprint dataset provided by Fingerprint ...
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Dynamic visual cryptography with Arnolds logarithm using ANN for medical data protection
... Artificial neural networks (ANNs) have been tested to solve many ...A Neural Network is a appliance that is perform to model the way in which the brain performs a work or function of ...This ...
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Efficient Large Scale Neural Domain Classification with Personalized Attention
... Our approach is based on a scalable neural model ar- chitecture with a shared encoder, a skill atten- tion mechanism and skill-specific classification networks that can efficiently perform ...
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Quantitive Evaluation of Web site Content and Structure
... an approach automatically to classify and evaluate publicly accessible World Wide Web ...data. Based on the preprocessed information, a multi-methodological approach is chosen that comprises ...
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Modelling of Metallurgical Processes Using Chaos Theory and Hybrid Computational Intelligence
... Systems approach which is based on neural networks, fuzzy sets, genetic algorithms and chaos theory has been applied to tackle this problem In this framework first a feed-forward neuro-model ...
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Data–Driven Fault Diagnosis of a Wind Farm Benchmark Model
... and neural networks that are used to describe the strongly nonlinear relationships between measurement and ...model–based approach relying on nonlinear differential geometry ...
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Segmentation of Lung Images using Region Based Neural Networks
... a neural network-basedsegmentation approach for CT lung images was proposedusingthe combination of Neural Networks and region growing which combines the regions of different ...state ...
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A hybrid approach based on arima and artificial neural networks for crime series forecasting
... 2000. Neural Fuzzy Based Intelligent Systems and Applications, In: Lakhmi ...of Neural Networks, Fuzzy Systems, and Genetic Algorithms Industrial Application, The CRC Press International ...
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Paraphrasing Revisited with Neural Machine Translation
... pivoting approach from the perspective of neural machine translation, a new approach to machine transla- tion based purely on neural networks (Kalchbren- ner and Blunsom, 2013; ...
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A New Method for Intrusion Detection Using Genetic Algorithm and Neural network
... Abstract — In order to provide complete security in a computer system and to prevent intrusion, intrusion detection systems (IDS) are required to detect if an attacker crosses the firewall, antivirus, and other security ...
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