The truck backer-upper: an example of self-learning in neural networks
Neural networks for control
Advanced Methods in Neural Computing
Advanced Methods in Neural Computing
A CPWM Synapsis for Weighted Radial Basis Functions
IWANN '96 Proceedings of the International Workshop on Artificial Neural Networks: From Natural to Artificial Neural Computation
An HW/SWCo-Design Approach for Neuro-Fuzzy Hardware Design
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
| Hi-index | 0.00 |
The work has been partially supported by the Italian National Project, CNR 93.05234.ST74, Sistemi Elettronici Avanzati - Reti Neurali and the Inter-University Cooperation "Integrated Neural System for Robotic Applications" between Italy and Spain and it has been awarded with the ES2 Best Chip Award at MICRONEURO '94. This paper describes, a Neuro-Fuzzy real-time controller based on Pulse Stream computation techniques and designed for applications in low power embedded systems. The proposed system mixes two different approaches, namely Neuro-Fuzzy Controllers and Finite State Automata. The former are implemented by means of a custom neural chip, while the latter are implemented as sequential code on a traditional microcontroller. The proposed system is used to demonstrate the advantages of mixing the two approaches and the feasibility of embedded Neuro- Fuzzy control systems. A low power, single chip version is also under design.