A neural net
analysis discovered that ROA had the largest importance factor in estimating CAR0 and CAP for predicting CAR6.
Figure 1 plots realizations and forecasts from the neural net
learn by training, not by being programmed.
The agent's neural nets
soon will be able to successfully solve the high-grade problem of the movement control (fig.
This mismatching can be caused by various reasons, such as insufficient training time, inappropriate low-level features used or limited generalization capability of the neural net
In neural net
analysis a set of inputs may be specified to determine an entire set of outputs.
But what will be the advantage, beside the training capability if the neural nets
The CSAIS is a neural net
technology, trained to identify cancer.
The biometric templates it uses to authenticate identity are engrams produced by an advanced artificial neural net
known as HNeT (Holographic/Quantum Neural Technology).
The employers respond by frying his neural net
so he can't work.
He predicted that neural net
research and experimental parallel processors capable of handling large amounts of information simultaneously would also be applied to the task of "teaching" machines how to recognize genes more accurately.
The methods we employ range from simple to state-of-art statistical data mining techniques including, segmentation, chi-square analysis, logistic regression, and neural net