The Current Mode Fuzzy Logic Integrated Circuits Fabricated by the Standard CMOS Process
IEEE Transactions on Computers
HGA: a hardware-based genetic algorithm
FPGA '95 Proceedings of the 1995 ACM third international symposium on Field-programmable gate arrays
Fuzzy hardware research from historical point of view
Fuzzy hardware
Three generations of fuzzy hardware
Fuzzy hardware
Application-specific integrated circuits
Application-specific integrated circuits
An introduction to evolutionary computing
Evolution of engineering and information systems and their applications
Designing for Parallel Fuzzy Computing
IEEE Micro
Rule-Driven VLSI Fuzzy Processor
IEEE Micro
A Fast Digital Fuzzy Processor
IEEE Micro
Optimized Fuzzy Controller Architecture for Field Programmable Gate Arrays
Selected papers from the Second International Workshop on Field-Programmable Logic and Applications, Field-Programmable Gate Arrays: Architectures and Tools for Rapid Prototyping
Special-purpose parallel architectures for high-performance machine learning
HPCN Europe '95 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
Synthesis of a Systolic Array Genetic Algorithm
IPPS '98 Proceedings of the 12th. International Parallel Processing Symposium on International Parallel Processing Symposium
Hardware design of asynchronous fuzzy controllers
IEEE Transactions on Fuzzy Systems
Computer-aided design of fuzzy systems based on generic VHDL specifications
IEEE Transactions on Fuzzy Systems
Digital fuzzy logic controller: design and implementation
IEEE Transactions on Fuzzy Systems
A 12b general-purpose fuzzy logic controller chip
IEEE Transactions on Fuzzy Systems
Sampled-analog implementation of application-specific fuzzy controllers
IEEE Transactions on Fuzzy Systems
FuGeNeSys-a fuzzy genetic neural system for fuzzy modeling
IEEE Transactions on Fuzzy Systems
Implementations of artificial neural networks using current-mode pulse width modulation technique
IEEE Transactions on Neural Networks
| Hi-index | 0.00 |
Neural computing, fuzzy logic and evolutionary computing are widely used in a broad range of application fields. While many fields take full advantage from conventional von Neumann processors, there are still classes, such as for example intelligent systems in high-energy physics, requiring the speed of fully hardware implementations. In the first part of this chapter, we discuss the hardware specifications of intelligent systems. These are outlined as basic specifications (including external input/output architecture, topology for neural networks or defuzzification function for fuzzy systems), hardware specifications (including the technology and the precision required), and performance specifications. These specifications are mapped over existing architectures such as general purpose (micro controllers and digital signal processors, extended instruction set architectures and coprocessors), and dedicated ones. Further, we review a sample of various VLSI implementations including digital and analog. We also investigate a selection of basic building blocks suitable for neural networks, fuzzy logic and genetic algorithms.