This paper presents a new reconfigurable generic hardware implementation of multilayer feed-forward Neural-Networks (NNs) using field-programmable gate ...

this paper presents a new reconfigurable generic hardware implementation of multilayer feed-forward Neural-Networks (NNs) using field-programmable gate ...

this paper presents a new reconfigurable generic hardware implementation of multilayer feed-forward Neural-Networks (NNs) using field-programmable gate arrays ( ...

A new reconfigurable generic hardware implementation of multilayer feed-forward Neural-Networks using field-programmable gate arrays (FPGAs) to address ...

In this thesis, two novel architectures for neural network hardware implementations are proposed. The designs are scalable and reconfigurable; ...

Our proposed implementations circumvent both issues. The designs reduce resource requirements by time-sharing. The time-shared resources are arranged in a ...

This paper presents a hardware implementation of multilayer feedforward neural networks (NN) using reconfigurable field-programmable gate arrays (FPGAs).

Sep 25, 2018 · This brief paper presents two implementations of feed-forward artificial neural networks in FPGAs. The implementations differ in the FPGA ...

Two novel generic, scalable, and reconfigurable neural network architectures implemented using field programmable gate arrays (FPGAs) are presented in this ...

A Reconfigurable, Generic and Programmable Feed Forward Neural Network Implementation in FPGA · A hybrid layer-multiplexing and pipeline architecture for ...