1707 search results - page 110 / 342 » Modeling spiking neural networks |
164
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IJCNN
2007
IEEE
16 years 11 days ago
2007
IEEE
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
167
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ESWA
2010
15 years 4 months ago
2010
The forecasting of stock price is one of the most challenging tasks in investment/financial decision-making since stock prices/indices are inherently noisy and non-stationary. In ...
150
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CCE
2008
15 years 6 months ago
2008
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
161
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ENGL
2008
15 years 6 months ago
2008
The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive m...
111
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ICANN
2007
Springer
16 years 7 days ago
2007
Springer
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...