Neural networks for improved target differentiation and localization with sonar

Neural Networks

Volumn 14, Issue 3, 2001, Pages 355-373

  Ayrulu, Birsel ^a   Barshan, Billur ^a  

^a BILKENT UNIVERSITY   (Turkey)

Author keywords

Acoustic signal processing; Artificial neural networks; Discrete wavelet transform; Feature extraction; Learning; Sonar sensing; Target differentiation; Target localization

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; COMPUTER VISION; CONVERGENCE OF NUMERICAL METHODS; DATA REDUCTION; LEARNING ALGORITHMS; LEARNING SYSTEMS; ROBOTICS;

GENERATING-SHRINKING ALGORITHMS;

NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; ECHOLOCATION; INFORMATION PROCESSING; PATTERN RECOGNITION; PRIORITY JOURNAL; ROBOTICS; SENSOR; SIGNAL PROCESSING; TECHNIQUE; TRAINING; VISUAL AID;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS (COMPUTER); SOUND LOCALIZATION;

EID: 0035312377     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(01)00017-X     Document Type: Article

References (46)

1. Comparison of sonar discrimination-dolphin and artificial neural network. Part I
2. Neural network modeling of a dolphin's sonar discrimination capabilities
3. Identification of target primitives with multiple decision-making sonars using evidential reasoning
4. Learning networks for extrapolation and radar target identification
5. Neural network based target differentiation using sonar for robotics applications
6. Differentiating sonar reflections from corners and planes by employing an intelligent sensor
7. Building a sonar map in a specular environment using single mobile sensor
8. A physical model-based analysis of heterogeneous environments using sonar-ENDURA method
9. The extraction of curved surface features with generic range sensors
10. Results of using an artificial neural network to distinguish single echoes from multiple sonar echoes. Part I
11. Generating-shrinking algorithm for learning arbitrary classification
12. Context-dependent multiple distribution phonetic modelling with MLPs
13. 3-dimensional target recognition via sonar-a neural network model
14. Common optimization of adaptive processing units and a neural network during the learning period: application in EEG pattern recognition
15. Learned classification of sonar targets using a massively parallel network
16. Learning to control an unstable system with forward modeling
17. Self-organized formation of topologically correct feature maps
18. Three-dimensional tracking using qualitative bionic sonar
19. Biomimetic sonar recognizes objects using binaural information
20. Physically-based simulation model for acoustic sensor robot navigation
21. Handwritten digit recognition with a back-propagation network
22. An introduction to computing with neural networks
23. Gradient methods for the optimization of dynamic systems containing neural networks
24. Source localization with network inversion using an answer-in-weights scheme
25. Sonar recognition of targets embedded in sediment
26. The multi-layer perceptron as an approximation to a Bayes optimal discriminant function
27. Learning representations by back-propagation errors
28. Composition of biosonar images for target recognition by echolocating bats
29. Voting as validation in robot programming
30. An ultrasonic visual sensor for three-dimensional object recognition using neural networks
31. Back-propagation through time: what it does and how to do it
32. Neural nets for adaptive filtering and adaptive pattern recognition
33. Radar classification using a neural network
34. Beam behavior within the near-field of a vibrating piston