The neural net
model consisted of one input, one hidden and one output layer.
In contrast to updated coefficients, the neural net
utilizes weights from a training sample that ended on 1983:Q4.
These predictor variables represent concepts drawn from the discussion of neural nets
Because only legal inputs conform a training set for the neural net
, the second term of T excludes the cases in which MR is greater than CMC available.
Research opportunities of management models of the mobile robot--football player with the help of neural net
algorithms, in FIRA RoboWorld Congress 2006, Robots in education, entertainment and service, Proceedings.
The neural net
used in this study is with three layer architecture, i.
methodology can address a problem of this complexity in a real dynamic system by relating a set of outputs to a set of inputs.
Based on a model of how neurons interact int he brain, neural nets
use the speed-enhancing power of parallel processing.
The big number of links between the neurons in the neural net
makes it tolerant to the errors in the different contacts.
CereSoft solutions are powered by CerebralNet(TM), our super-flexible neural net
technology identified by U.
The center also is working on a new type of computer known as a neural net
that will function more like the human brain.
of Mentor, OH have formed a strategic alliance to advance the use of neural net
control technology in the utility industry.