Bipropagation
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High Quality Content by WIKIPEDIA articles! Bipropagation is method of teaching artificial neural networks how to perform a given task. It was first described by Bojan Ploj in 2009 on the International Electotehnical and Computer Science Conference ERK 2009 in Portoro (Slovenia). This method is upgrade of Backpropagation. It is faster and more reliable from it. An artificial neural network (ANN), usually called "neural network" (NN), is a mathematical model or computational model that tries to simulate the structure and/or functional aspects of biological neural networks. It consists of an interconnected group of artificial neurons and processes information using a connectionist approach to computation. In most cases an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. Modern neural networks are non-linear statistical data modeling tools. They are usually used to model complex relationships between inputs and outputs or to find patterns in data.
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GarantieWeitere Informationen
- Allgemeine Informationen
- GTIN 09786131352591
- Editor Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
- EAN 9786131352591
- Titel Bipropagation
- Herausgeber Betascript Publishing
- Anzahl Seiten 100
- Genre Informatik
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