Time series prediction with simple recurrent neural networks
Explore this paper's citation graph
Summary
Results from the experiments showed that Jordan neural network performed significantly better than the others, however, the results indicated satisfactory forecasting performance by the other two neural networks.
- Type
- article
- Published
- 2016-07-19
- Cited by
- 14
- References
- 17
- Access
- Open access
- OpenAlex
- https://openalex.org/W2500192993
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:55100394
Keywords
Artificial neural network, Recurrent neural network, Computer science, Simple (philosophy), Series (stratigraphy)
References
- Neural Networks: Tricks of the Trade
- Attractor dynamics and parallelism in a connectionist sequential machine
- Prediction of Road Traffic using a Neural Network Approach
- Time series forecasting using neural networks vs. Box- Jenkins methodology
- Time series forecasting using neural networks
- Gesture recognition using recurrent neural networks
- Learning long-term dependencies with gradient descent is difficult
- A simulation study of artificial neural networks for nonlinear time-series forecasting
- Robust Jordan network for nonlinear time series prediction
- Natural Language Grammatical Inference with Recurrent Neural Networks
- Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference
- Trend time series modeling and forecasting with neural networks
- CIlib: A collaborative framework for Computational Intelligence algorithms - Part II
- Rprop - Description and Implementation Details
- Forecasting with artificial neural networks:: The state of the art
- The State of the Art
- How Neural Nets Work
- Adaptive Regularization in Neural Network Modeling
Cited by
- Photovoltaic power forecasting using reccurent neural networks
- A cooperative neural network approach for enhancing data traffic prediction
- Quiet agent detection through simulation and classification
- Suitable Recurrent Neural Network for Air Quality Prediction With Backpropagation Through Time
- Time Series Forecasting Using Neural Networks: Are Recurrent Connections Necessary?
- Time series forecasting using dynamic particle swarm optimizer trained neural networks
- Green CrowdSensing With Comprehensive Reputation Awareness and Predictive Device-Application Matching Using a New Real-Life Dataset
- Modeling Electricity Consumption and Production in Smart Homes using LSTM Networks
- What is the best RNN-cell structure for forecasting each time series behavior?
- Solar Energy Prediction Using Particle Swarm Optimiser Trained Recurrent Neural Network
- Assimilation of the chronology of mineral system components in prospectivity analysis procedure for mineral exploration targeting: Adaptation of recurrent neural networks
- PREDIKSI KESEHATAN MASYARAKAT INDONESIA MENGGUNAKAN RECURENT NEURAL NETWORK
- Regulated Jordan—Elman Neural Network-Based Controller Model for Grid-Connected Wind Energy Conversion Systems
- Photovoltaic Power Prediction Using Recurrent Neural Networks
Related papers
- Comparative Analysis on variants of Neural Networks: An Experimental Study
- Study of Asymptotical Behavior in Discrete-Time Recurrent Neural Networks
- A new recurrent neural network architecture for pattern recognition
- A genetic algorithm based neural-tuned neural network
- Second Order Diagonal Recurrent Neural Network
- RANDOM MULTI-MODAL DEEP LEARNING IN THE PROBLEM OF IMAGE RECOGNITION
- Neural Networks Theory