Body: <p>I'm quite new in ANNs. I intend to use ANNs for predicting spike points in time series right before they happen. I've already used LSTM for another scenario, and I know that they can be used in similar situations as well. </p>
  
  <p>Can anyone give me a piece of advice or some suitable resources that might be used as a beginning point? It would be much appreciated if it uses <a href="https://deeplearning4j.org/" rel="nofollow noreferrer">DeepLearning4J</a> for implementation.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-08-08T08:28:47.947Z
Comments.Text: Since you mentioned that you have already used LSTMs I can directly guide you to using it for time Series prediction.
  For detailed description you can check the following link: <https://towardsdatascience.com/time-series-analysis-visualization-forecasting-with-lstm-77a905180eba> This is a very useful article for you to grasp the idea behind time Series Prediction.
  I suggest you go through this to get an idea and then try implementing this in dl4j.
Comments.UserDisplayName: SUMAN
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-08-10T10:29:54.153Z
Comments.Text: What kind of time series data is it? Do you happen to have covariates? What is the sampling interval of the data? How big is the data -- i mean number of data points? Multivariate..?
Comments.UserDisplayName: naive
Tags: <deep-learning><long-short-term-memory><prediction><time-series>
Title: Spike detection in time series using Artificial Neural Networks
UserDisplayName: Ehsan Khodarahmi
ThreadText: # Spike detection in time series using Artificial Neural Networks
  
  (Asked by: username_0 on 2019-08-08)
  
  I'm quite new in ANNs. I intend to use ANNs for predicting spike points in time series right before they happen. I've already used LSTM for another scenario, and I know that they can be used in similar situations as well.
  
  Can anyone give me a piece of advice or some suitable resources that might be used as a beginning point? It would be much appreciated if it uses [DeepLearning4J](https://deeplearning4j.org/) for implementation.
  
  **Tags:** deep-learning, long-short-term-memory, prediction, time-series
  > **Comments:**
  > **username_1**: Since you mentioned that you have already used LSTMs I can directly guide you to using it for time Series prediction. For detailed description you can check the following link: <https://towardsdatascience.com/time-series-analysis-visualization-forecasting-with-lstm-77a905180eba> This is a very useful article for you to grasp the idea behind time Series Prediction. I suggest you go through this to get an idea and then try implementing this in dl4j.  
  > **username_2**: What kind of time series data is it? Do you happen to have covariates? What is the sampling interval of the data? How big is the data -- i mean number of data points? Multivariate..?  
  
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  ## 0 answers
  
  