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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Park, H.O. Dibazar, A.A. Berger, T.W. |
| Copyright Year | 2011 |
| Description | Author affiliation: Center for Neural Engineering, University of Southern California (USC), USA (Berger, T.W.) || Laboratory for Neural Dynamics, Biomedical Engineering department, University of Southern California (USC), USA (Dibazar, A.A.) || Laboratory for Neural Dynamics, University of Southern California (USC), 1042 Downey way, DRB140, Los Angeles, 90089, USA (Park, H.O.) |
| Abstract | Discrete Synapse Recurrent Neural Network (DSRNN) using fully Recurrent Neural Network (RNN) structure and Extended Kalman Filter (EKF) algorithm for its training is improved with time-varying delay in its recurrent connection. An additional shadowing network is employed and learned to choose appropriate time delays at the right time in order to increase the memory depth inside the recurrent connection efficiently. As a lumped nonlinear model in capturing temporal dynamics related between input and output sequences, DSRNN with time-varying delay is applied to a task of seismic signal classification to discriminate footsteps and vehicles from background which are recorded in the deserts of Joshua Tree, CA. Even though the smaller sized network was trained from a smaller set of training data due to slow convergence in training, the proposed classifier showed 0.6% false recognition rate for the recognition of human footsteps, 0.8% for vehicle, and 0.0% for background. The models were able to reject quadrupedal animal's footsteps (in this study a trained dog). The system rejected the dog's footsteps with 0.1% false recognition rate. |
| Starting Page | 2374 |
| Ending Page | 2381 |
| File Size | 610078 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424496358 |
| ISSN | 21614407 |
| e-ISBN | 9781424496372 |
| DOI | 10.1109/IJCNN.2011.6033526 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-31 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shadow mapping Delay Training Vehicles Recurrent neural networks Delay effects Mathematical model |
| Content Type | Text |
| Resource Type | Article |
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