Jun 8, 2005 � Majority of today's applications use backpropagate feedforward ANN. In this paper, two methods of P pattern L layer ANN learning on n x n RMESH�...
Artificial neural networks(ANN) have been used successfully in applications such as pattern recognition, image processing, automation and control.
Special paper. Feedforward backpropagation artificial neural networks on reconfigurable meshes. Author links open overlay panel. John Jingfu Jenq a
Special paper. Feedforward backpropagation artificial neural networks on reconfigurable meshes. Author links open overlay panel. John Jingfu Jenq a
Jan 1, 1998 � Majority of today's applications use backpropagate feedforward ANN. In this paper, two methods of P pattern L layer ANN learning on n x n RMESH�...
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Feedforward backpropagation artificial neural networks on reconfigurable meshes. Authors: John JingFu Jenq. John JingFu Jenq. View Profile. , Wingning Li.
Our work explores a new hybrid architecture based on HSD and PEM to implement a reusable partial network structure on FPGA and achieve generic acceleration�...
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IMPLEMENTING AND MAPPING ANNS ON RECONFIGURABLE MESH MASSIVELY PARALLEL ARCHITECTURES ... Abstract: Artificial neural networks (ANNs) have been used successfully�...
Using two exemplar models, a spiking network using Izhikevich neurons, and an MLP network, we illustrate how to implement efficient service routines to�...
Parallel implementation of artificial neural networks (ANNs) involves mapping of neural network models onto parallel architectures. ... Meshes with reconfigurable�...