High-speed fuzzy controller hardware system: the Mega-FIPS machine
Information Sciences: an International Journal - Application of Fuzzy Set Theory
Universal approximation using radial-basis-function networks
Neural Computation
Approximation and radial-basis-function networks
Neural Computation
Fuzzy Systems as Universal Approximators
IEEE Transactions on Computers
A novel analog fuzzy controller for intelligent sensors
Fuzzy Sets and Systems - Special issue on modern fuzzy control
Parallel fuzzy information processing system
Fuzzy Sets and Systems
Sigmoid Generators for Neural Computing Using Piecewise Approximations
IEEE Transactions on Computers
A General-Purpose Fuzzy Inference Processor
IEEE Micro
Fuzzy Inference on an Analog Fuzzy Chip
IEEE Micro
Dedicated Digital Fuzzy Hardware
IEEE Micro
A CMOS implementation of fuzzy controllers based on adaptive membership function ranges
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
A Gaussian synapse circuit for analog VLSI neural networks
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
High speed flexible fuzzy hardware for fuzzy information processing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Computer-aided design of fuzzy systems based on generic VHDL specifications
IEEE Transactions on Fuzzy Systems
Design and application of an analog fuzzy logic controller
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
Implementation of CMOS fuzzy controllers as mixed-signal integrated circuits
IEEE Transactions on Fuzzy Systems
A VLSI fuzzy expert system for real-time traffic control in ATM networks
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Fuzzy basis functions: comparisons with other basis functions
IEEE Transactions on Fuzzy Systems
A representation method for PWL functions oriented to parallel processing
Mathematical and Computer Modelling: An International Journal
Functional equivalence between radial basis function networks and fuzzy inference systems
IEEE Transactions on Neural Networks
A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control
IEEE Transactions on Neural Networks
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In this work, a piecewise-linear (PWL) function approximation is described by a lattice algebra. The maximum (@?) and minimum (@?) lattice operators have been modified to incorporate interpolation capability of generated PWL function vertexes. As a result of that, a new recursive method called centred recursive interpolation (CRI) based on such operators is proposed and analysed for successive function smoothing and more accurate approximation. The resultant computational scheme is accurate but simple, as few parameters are needed for function definition. The method is tested by applying it to the optimum approximation of some sample functions, and it turns out to be a natural quadratic approximation. Due to its advantageous characteristics and the properties that Gaussian-like function based neuro-fuzzy systems show, optimised approximation of programmable Gaussian functions has been studied in detail. A table of optimum parameters has been obtained for approximating the function through different design schemes. This constitutes a previous theoretical work for the future hardware implementation of function generators in neuro-fuzzy systems.