Multilayer feedforward networks are universal approximators
Neural Networks
Practical genetic algorithms
Active Noise Control Systems: Algorithms and DSP Implementations
Active Noise Control Systems: Algorithms and DSP Implementations
Cancellation of siren noise from two way voice communications inside emergency vehicles
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
IEEE Transactions on Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
Improved training of neural networks for the nonlinear active control of sound and vibration
IEEE Transactions on Neural Networks
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Active control of vibration using a neural network
IEEE Transactions on Neural Networks
| Hi-index | 0.01 |
Sound emitted by audible warning devices for emergency vehicles usually exceeds maximum admissible rates of noise in the aspect of occupational health and safety of the crew inside. Therefore, the idea of active noise control systems for emergency vehicles is an important issue. Most of active noise control systems for emergency vehicles developed till now are based on the concept of adaptive control. A major disadvantage of adaptive noise control methods is the lack of robustness for external disturbances. In this paper the concept of robust, fixed-parameter controller for variable frequency tonal noises is presented. The concept is based on a neural network performing a role of intelligent data base for notch filter coefficients.