Using DTW allows us to process a time series with different duration by one neural net
. The classical Dynamic Time Warping algorithm that is applied in the system is fully described in (Keogh and Pazzani 2001).
But a Creativity Machine is composed minimally of two neural nets
, a perceptron and an imagitron, and neither of these algorithms is written by human beings.
The six panels of Figure 1 are scatter plots of the relation between the actual--but squashed--Strong BIS (X-axis) and the squashed BIS values as predicted by the neural net
(Y-axis) from the color test inputs.
The inventories-T-bill neural net
system is again a time-lag recurrent network using 423 data points, from June 1962 to August 1997.
The second forecast series was obtained with the variables in Table 1, but using a neural net
. The network consists of ten input nodes (one for each independent variable), two hidden nodes, and one output node.
It is always possible to build a neural net
or a mathematical function that exactly fits all the historical data such as a time series, but the predictive capability of such a system is relatively nonexistent.
Zhang discuss his neural net
concepts several times and although he is a delightful and energetic speaker, I just plain don't understand it.
(1990) Stock Price Recognition A Recurrent Neural Net
A section of the course is dedicated to using statistical modeling to predict coatings behavior using QSPR (quantitative structure-property relationships) and ANN (artificial neural net
The hypothesis was to determine if a robot could learn to turn left, right, move forward, and stop based on sensory input and previous decisions stored in a neural net
. A Lego[TM]robot was designed with a two-wheel drive and a support wheel.