| nn. |
A network of NEURONS that are connected through SYNAPES or WEIGHTS. In this book, the term is used almost exclusively to denote an artificial neural network and not the real thing. Each neuron performs a simple calculation that is a FUNCTION of the AVTIVATIONS of the neurons that are connected to it. ...
출처: www.agsm.edu.au/~bobm/teaching/SimSS/glossary.html
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| nn. |
A modeling technique based on the observed behavior of biological neurons and used to mimic the performance of a system. It consists of a set of elements that start out connected in a random pattern, and, based upon operational feedback, are molded into the pattern required to generate the required results. It is used in applications such as robotics, diagnosing, forecasting, image processing and pattern recognition.
출처: www.irisa.fr/armor/lesmembres/Mohamed/Thesis/node9...
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