884 search results - page 2 / 177 » Implementation of the MLP Kernel |
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
JUCS
2008
13 years 5 months ago
2008
: This paper describes the development of an Intellectual Property (IP) core in VHDL able to implement a Multilayer Perceptron (MLP) artificial neural network (ANN) topology with u...
ICONIP
2008
13 years 6 months ago
2008
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
HPCA
2007
IEEE
14 years 5 months ago
2007
IEEE
A thread executing on a simultaneous multithreading (SMT) processor that experiences a long-latency load will eventually stall while holding execution resources. Existing long-lat...