Perceptrons: expanded edition
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural Computation
Neural network implementation using reconfigurable architectures
Selected papers from the Oxford 1993 international workshop on field programmable logic and applications on More FPGAs
Neural network design
Efficient MLP Digital Implementation on FPGA
DSD '05 Proceedings of the 8th Euromicro Conference on Digital System Design
The Impact of Arithmetic Representation on Implementing MLP-BP on FPGAs: A Study
IEEE Transactions on Neural Networks
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In recent years, there has been significant interest in implementing neural networks on FPGAs. This paper describes a simple technique for implementing multi-layer neural networks, with arbitrary numbers of neurons and layers, on FPGAs, using minimal resources. The network architecture can be modified simply by loading memory with the architecture parameters and the network weights and biases. The paper also presents an application of the technology, in which a smart position sensor system is implemented with a neural network on a Xilinx Spartan 3E FPGA development system.