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IJCSS
2007
122views more  IJCSS 2007»
15 years 3 months ago
Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K...
107
Voted
AUTOMATICA
2004
104views more  AUTOMATICA 2004»
15 years 3 months ago
Input-to-state stability of networked control systems
A new class of Lyapunov uniformly globally asymptotically stable (UGAS) protocols in networked control systems (NCS) is considered. It is shown that if the controller is designed ...
Dragan Nesic, Andrew R. Teel
OSN
2011
14 years 10 months ago
A distributed impairment aware QoS framework for all-optical networks
—Different physical impairments can occur in optical transmission systems. Impairments such as fiber nonlinear effects are dependent on network state and vary with traffic and to...
Wenhao Lin, Timothy Hahn, Richard S. Wolff, Brenda...
FLAIRS
2004
15 years 4 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin
ICCAD
1993
IEEE
134views Hardware» more  ICCAD 1993»
15 years 7 months ago
Beyond the combinatorial limit in depth minimization for LUT-based FPGA designs
In this paper, we present an integrated approach to synthesis and mapping to go beyond the combinatorial limit set up by the depth-optimal FlowMap algorithm. The new algorithm, na...
Jason Cong, Yuzheng Ding