Reputation: 390
Continuous time-dependent signal prediction
Which type of artificial neural network would you suggest to be able to make continuous time-dependant signal predictions? It should predict smallscale steps over very few signals up to very large scale steps with very many signals, possibly with less precision (abstraction by some kind of hierarchy?).
See:
Actually the system should learn and predict simultaneously.
Upvotes: 2
Views: 390
Answers (1)
Reputation: 594
I think a Spiking Neural Network, which is "third generation" and most similar to the neurons in our brain would do best.
It runs in real time, although I don't think it can learn in real-time.
Instead, you can just continually examine and overhaul it, running a couple seconds behind live input so you can adjust its answers, before it becomes good enough to go real-time.
Upvotes: 2
Related Questions
- Machine Learning to predict time-series multi-class signal changes
- Time Series Ahead Prediction in Neural Network (N Point Ahead Prediction) Large Scale Iterative Training
- Signal classification - recognise a signal with AI
- LSTM pulse signal prediction
- Matlab: neural network time series prediction?
- predict continuous target value from noisy input using machine learning approches
- Time Series Prediction using Recurrent Neural Networks
- Time Series Prediction via Neural Networks
- Neural network input with exponential decay
- Long term prediction using Artificial Neural Network