neural network based architecture
Predicting Helpful Posts in Open Ended Discussion Forums: A Neural Architecture
... factoid based, we find that the threads in a forum are often open-ended ...recurrent neural network based architecture to model (i) the relevance of a post regarding the original post ...
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Computationally Simpler And Fast Convergence Algorithm For Neural Network Based Ldpc Encoder/ Decoder
... MODIFIED AGLN In order to compare the performance of the proposed algorithm with the conventional techniques, initially the architecture of the neural network is retained. Also the feasibility of ...
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A sentiment information collector–extractor architecture based neural network for sentiment analysis
... can reach satisfactory results in related tasks like sentiment classification, text categoriza- tion. Among the neural network models, CNN and RNN are two most popular models and the variants of these ...
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Identification And Classification Of Defects In Tomato Weed Plants Using Deep Convnet
... convolution neural network ...the network to predict accurately, the network must be trained with different set of ...of network is done with seven different types of tomato ...
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Title: DIABETIC RETINOPATHY DETECTION USING DEEP NEURAL NETWORK
... described neural network model based Desktop application works well for identification of Diabetic ...deep neural network architecture that is trained on thousands of images on ...
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Hybrid Neural Network Architecture for On Line Learning
... intelligence based on brain models use neural networks for generalization but they do so as signal processing black ...hybrid neural network ar- chitecture that uses two kinds of neural ...
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Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data
... convolutional neural network on vibration time series data based on combinations of healthy and simulated fault ...The architecture is based on hierarchically dilated 1D ...dilated ...
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A Neural Network Architecture for Multilingual Punctuation Generation
... ing (NLP): introduction of punctuation marks into a generated sentence that is to be read aloud, restora- tion of punctuation in speech transcripts, parsing un- der consideration of punctuation, or generation of ...
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A VLSI architecture for neural network chips
... and neural programming ...usually based on standard signal-processing chips and plugged onto workstations; parallel processor arrays, formed by a large number o f simpler processing units; and specialised ...
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VLSI Architecture and implementation for 3D Neural Network based image compression
... option for reducing the number of bits in transmission. This in turn helps increase the volume of data transferred in a space of time, along with reducing the cost required. It has become increasingly important to most ...
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Convolutional neural network as an architecture for deep learning
... Deep Learning is a new area of Machine Learning research that learns features and tasks directly from data. This data can include images, text, or sound. Also this method is based on learning data representations. ...
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Towards A New Architecture of Detecting Networks Intrusion Based on Neural Network
... Intrusion detection systems are generally classified in three categories [1]:the IDS which use the behavioral approach, the IDS which use the scenario approach and the IDS which use the specification approach. The ...
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Research on Control Strategy of Intelligent Vehicle Autonomous Learning Based on Neural Network Algorithm
... In this paper, the intelligent control method based on neural network algorithm is used to control the influence parameters of damping force of shock absorber.. Memory architecture is es[r] ...
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Plant classification based on leaf Shape features using Neural Network
... artificial neural network classification method. Feed forward neural network classification model is designed to perform the plant classification based on leaf shape 18 features with ...
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Identification and Adaptive Control of Dynamic Nonlinear Systems Using Sigmoid Diagonal Recurrent Neural Network
... new neural network architecture called based on the adaptation of the shape of the sig- moid weight of the hidden layer neurons and have intro- duced its corresponding dynamic back propagation ...
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PestNet : an end-to-end deep learning approach for large-scale multi-class pest detection and classification
... Convolutional Neural Network (CNN) in deep learning [5-8] and the development of region-based CNN detection techniques in generic objects [9,10], we develop an end-to- end architecture PestNet ...
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Design And Development Of Linux-Based Finger-Vein Recognition System
... 8 2.5 Topology of fused CNN architecture in fmger-vein recognition 9 2.6 The Architecture of Simple Neural Network 9 2.7 The Architecture ofNeural Network with Multiple Hidden Layers 10 [r] ...
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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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An evolvable block-based neural network architecture for embedded hardware
... e) Verilog and SystemVerilog HDL is used to model the hardware design of the BbNN. Hardware prototyping and implementation of the BbNN system as an SoC is done on an Altera Stratix III FPGA as shown in Fig. 1.4. The Nios ...
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Land cover and forest segmentation using deep neural networks
... experimentation based on applying the state of the art DL methods in semantic ...deep neural network based of CNN, ResNets, ASPP, and encoder-decoder architecture was built to ...
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