New learning paradigms in soft computing
New learning paradigms in soft computing
Hybrid Intelligent Engineering Systems
Hybrid Intelligent Engineering Systems
Soft Computing Techniques in Knowledge-Based Intelligent Engineering Systems: Approaches and Applications
Fuzzy Clustering Models and Applications
Fuzzy Clustering Models and Applications
Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications
Fusion of Neural Networks, Fuzzy Sets, and Genetic Algorithms: Industrial Applications
Fuzzy Learning and Applications
Fuzzy Learning and Applications
Digital Techniques for Wideband Receivers, Second Edition
Digital Techniques for Wideband Receivers, Second Edition
Applied Intelligent Systems
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Evolutionary Computation in Data Mining (Studies in Fuzziness and Soft Computing)
Research Directions in the KES Centre
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
A model of pulse signals above 100 MHz in the electromagnetic environment
International Journal of Information and Communication Technology
Artificial intelligence for decision making
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
| Hi-index | 0.00 |
This paper provides a description of pulse processing and signal identification techniques in Radar Warning Receiver and Electronic Support Measures systems with the objective of describing their similarity to certain Artificial Intelligence techniques. It also presents aspects for which future developments in artificial intelligence based techniques could support the objectives of such systems, both during operation and during the more detailed analysis of data after operations and in counteracting future trends in radar developments. These include parameter optimization, learning and predicting outcomes related to unseen data and so on.