AI News, The Artificial Neural Networks handbook: Part 2

The Artificial Neural Networks handbook: Part 2

Commercial artificial neural network applications of this nature include: In time-series problems, the ANN is required to build a forecasting model from the historical data set to predict future data points.

Real world examples of time series problems using ANNs include: Optimization problems involve finding solution for a set of very difficult problems known as Non-Polynomial (NP)-complete problems, Examples of problems of this type include the traveling salesman problem, job-scheduling in manufacturing and efficient routing problems involving vehicles or telecommunication.

The ANNs used to solve such problems are conceptually different from the previous two categories (classification and time-series), in that they require unsupervised networks, whereby the ANN is not provided with any prior solutions and thus has to ‘learn’ by itself without the benefit of known patterns.

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