neural-net-based approach
Neural Net-Based Approach to EEG Signal Acquisition and Classification in BCI Applications
... method based on the SOM in order to classify five different brain activities recorded from ten subjects: conversing, reading a text written in English, watching a video with sound, resting, and working on solving ...
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Rule based vs Neural Net Approaches to Semantic Textual Similarity
... the neural network-based ...the neural network models are end-to-end models that do not use complicated linguistic features and ...The neural network-based approaches are better at ...
6
Implementation of Backpropagation Algorithm: A Neural Net- work Approach for Pattern Recognition
... for neural networks based on mathematics and ...for neural networks: one based on biological processes in the brain and the other conceptualizing the application of neural networks to ...
8
Modeling Temporal Progression of Emotional Status in Mental Health Forum: A Recurrent Neural Net Approach
... Learning based approaches have also been used in the literature for temporal mod- eling tasks in online communities (Matsubara et ...deep neural net- works have shown significant progress due their ...
9
Comprehensive study & implementation of energy prognosis using neural net approach
... based. Oil, natural gas and coal are the dominant fuels in energy mix. And despite many efforts to lighten the carbon weight of global energy supply, it is generally agreed that the world demand for these fossil ...
6
FLEX: Faithful Linguistic Explanations for Neural Net Based Model Decisions
... a neural image captioning model and condition the model not only on image features but also on the predicted class and train their language generator using the visual descriptions provided by ...their ...
8
A Neural Network Approach to Selectional Preference Acquisition
... a neural network ap- proach to the acquisition of selectional ...on neural language models, we proposed a neural network model that learns to discriminate between felicitous and infelicitous ...
10
Rainfall Prediction using Neural Net based Frequency Analysis Approach
... and six months is 6.22, 7.11 and 13.15 respectively. “Iyengar et al.” proposed rainfall forecasting model based on the rainfall data itself which is decomposable into six empirical time series. They used ...
5
Neural Generative Question Answering
... generation-based approach to ...a neural network to achieve a desired precision and cover- age in real world ...The neural net- work, and more generally the fully distributed way of ...
7
On hybrid intelligence-based control approach with its application to flexible robot system
... fuzzy-based approach and applied to the singular perturbation method for controlling robot flexible arm ...A neural-fuzzy-based structure is proposed to control the target position of a ...
18
Discriminative Neural Sentence Modeling by Tree Based Convolution
... One potential problem of RNNs is that the long propagation paths—through which leaf nodes are connected to the output layer—may lead to infor- mation loss. Thus, RNNs bury illuminating in- formation under a complicated ...
11
Boundary reconstruction process of a TV-based neural net without prior conditions
... Our proposed MLP scheme was fully implemented in Matlab, being very well suited as all formulae of this article have been presented on a matrix basis. The com- plexity of the net can be analyzed in the two stages ...
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A Novel Neural Net based Off-line English Character Recognition System
... Artificial Neural Network (ANN) is an information- processing paradigm that is inspired by the way biological nervous systems, such as the brain, process ...
8
Neural Network Application in Prediction of Axial Bearing Capacity of Driven Piles
... This study used the Neural Network Back Propagation (BPNN) algorithms. The best performances of BPNN depend upon the selection of suitable initial weight, learning rate, momentum, networks architecture model and ...
5
Dynamic Shortest Path Algorithm in Stochastic Traffic Networks Using PSO Based on Fluid Neural Network
... In this paper, the PSO algorithm based on the FNN model to search for the shortest path in stochastic traffic networks is proposed for the first time to our best know- ledge. The technique makes full use of their ...
6
Language Identification in Code Mixed Data using Multichannel Neural Networks and Context Capture
... The purpose of this module is to learn representa- tion at instance level, i.e. capture context. For this, we decided to use bidirectional LSTM network with CRF layer (Bi-LSTM-CRF) (Huang et al., 2015) as it has given ...
5
A Petri Net based modelling approach to railway bridge asset management
... The deterioration module is arguably the most impor- tant as it contains the deterioration profile over time with typical usage. The places of the deterioration module, shown as the blue nodes in Figure 7 represent the ...
13
Literature Review on Multiple Watermarking for Images using Optimization Techniques
... The Genetic Algorithm (GA) was introduced in the mid 1970s by John Holland. Genetic algorithms are a technique to solve problems which need optimization. Genetic algorithms are a subclass of evolutionary computing and ...
9
A Machine Learning Approach for Secure Intrusion Detection in Wireless Sensor Networks
... AI based strategies connected in intrusion detection are ...classifier approach is talked about that outcome into detection of known and unknown attacks with high accuracy and low false alarm ...the ...
8
A Petri-Net Based Approach of Software Visualization for Software Customization
... After briefing, a task sheet had been handed to them, describing the task they were requested to complete. The task sheets were different for the users who were testing the text-based system and the users who ware ...
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