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10 results for “rnn”
Data Sets and Prediction Models Created using MLP, RNN and LSTM
<p>Binary Data Sets</p> <p>- 2018tbi219_shuffled3.csv and 2018tbi219_shuffled5.csv</p> <p>- these are stratified data sets that were able to produce prediction models with high prediction rates.</p> <p>Models.zip</p> <p>- this zip file contains the prediction models created using Keras Deep Learning Algorithms: MLP, RNN and LSTM</p> <p>Model Creation - Python Code Snippets</p> <p>- Code snippets for creating the prediction models</p>
Empowering Coffee Farming Using Counterfactual Recommendation based RNN-IoT Integrated Soil Fertility Control System
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Figure 6. Performance plot for NASDAQ index (RNN)-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Figure 5 we can see that the mse curve reaches the In performance goal but it does not<br> decrease in that good manner,but in Figure 6 the mse is reduces widely. By analyzing all these<br> results one can say that RNN is better choice than Feedforward MLP in prediction purpose.</p>
Figure 4. Regression plot for NASDAQ index (RNN)-Comparative study of Financial Time Series Prediction by Artificial Neural Network with Gradient Descent Learning
<p>Figure 4,depicts the regression plot for the Timedelay RNN network, analyzing it we can<br> say that Y=T regression is totally fit.<br> This paper also comprises of comparative study of performance(mse) plot of both network.</p>
Data for internet traffic prediction using RNN
<p>Contains three .csv files which are from Wireshark captures. The device used for capturing was a MacBook Pro 2019:<br> <br> - Game streaming data captured using PS Remote Play.</p> <p>- Video streaming data captured from a movie in Prime Video.</p> <p>- File download data captured from downloading a 6GB file from Google Drive.</p>
Comparative analysis of RNN versus IIR digital filtering to optimize resilience to dynamic perturbations in pH sensing for vertical farming
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Empowering Coffee Farming Using Counterfactual Recommendation based RNN-IoT Integrated Soil Fertility Control System
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RNN
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Fly with RNN nervous system
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Mouse with RNN brain
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.