Prediction of track purity and track accuracy in dense target environments.
Shozo MoriKuo-Chu ChangChee-Yee ChongKeh-Ping DunnPublished in: IEEE Trans. Autom. Control. (1995)
Keyphrases
- prediction accuracy
- multi target
- neural network
- improve the prediction accuracy
- computational efficiency
- error rate
- real world
- computational complexity
- computational cost
- search engine
- artificial intelligence
- machine learning
- highly accurate
- target object
- prediction error
- prediction algorithm
- multiple targets
- database
- high prediction accuracy