Computer arithmetic systems: algorithms, architecture and implementation
Computer arithmetic systems: algorithms, architecture and implementation
Spert-II: A Vector Microprocessor System
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Sigmoid Generators for Neural Computing Using Piecewise Approximations
IEEE Transactions on Computers
Elementary functions: algorithms and implementation
Elementary functions: algorithms and implementation
Advanced Computer Arithmetic Design
Advanced Computer Arithmetic Design
Implementation of Programmable Digital Sigmoid Function Circuit for Neuro-Computing
MWSCAS '98 Proceedings of the 1998 Midwest Symposium on Systems and Circuits
Parameterized High Throughput Function Evaluation for FPGAs
Journal of VLSI Signal Processing Systems
To compute numerically: Concepts and strategies (Little, Brown computer systems series)
To compute numerically: Concepts and strategies (Little, Brown computer systems series)
Implementations of square-root and exponential functions for large FPGAs
ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
Elementary function generators for neural-network emulators
IEEE Transactions on Neural Networks
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There has been much study of ASIC neurocomputers but, in comparison, relatively little for FPGA neurocomputers. Nevertheless, with current (and future) dense, high-speed FPGAs, the latter are now viable and will be more successful than the former. In this paper, we discuss a technique for low-error, high-speed implementations of the sigmoid function in such FPGAs. This function is commonly used as an activation function in artificial neural networks, but it also has applications in many other areas. Our results compare very favourably with others that have been reported in the published literature.