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Application of Artificial Neural Networks to Power Systems

Glossary

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P

parallel processing

The simultaneous use of more than one computer to solve a problem. There are many different kinds of parallel computer (or parallel processor). They are distinguished by the kind of interconnection between processors (known as "processing elements" or PEs) and between processors and memory.

parallel processor

A computer with more than one central processing unit, used for parallel processing.

pattern recognition

A branch of artificial intelligence concerned with the classification or description of observations. Pattern recognition aims to classify data (patterns) based on either a priori knowledge or on statistical information extracted from the patterns. The patterns to be classified are usually groups of measurements or observations, defining points in an appropriate multidimensional space.

pencil and paper

An archaic information storage and transmission device that works by depositing smears of graphite on bleached wood pulp. More recent developments in paper-based technology include improved "write-once" update devices which use tiny rolling heads similar to mouse balls to deposit coloured pigment. All these devices require an operator skilled at so-called "handwriting" technique. These technologies are ubiquitous outside hackerdom, but nearly forgotten inside it. Most hackers had terrible handwriting to begin with, and years of keyboarding tend to have encouraged it to degrade further. Perhaps for this reason, hackers deprecate pencil-and-paper technology and often resist using it in any but the most trivial contexts.

perceptron

1. A single McCulloch-Pitts neuron.
2. A network of neurons in which the output(s) of some neurons are connected through weighted connections to the input(s) of other neurons. A multilayer perceptron is a specific instance of this.

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