Soft computing in excavator application
Palomäki, Heikki (2017)
Palomäki, Heikki
AmiEs
2017
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-201801301813
https://urn.fi/URN:NBN:fi:amk-201801301813
Tiivistelmä
Artificial intelligence seems to be a demanded method, suitable to realize only by the high-power computers and far from the everyday living. The one part of Artificial Intelligence is Soft Computing. These new calculation methods ware found by following for example the ants, the bees and the functions of the neural shells.
Soft Computing includes for example neural network, fuzzy logic, Genetic algorithms and swarm intelligence. Soft Computing is suitable in the practical applications, also. As an example, it can automatic calibrate the excavator deep meter system.
Soft computing; neural network, excavator, simulation; acceleration sensor
Soft Computing includes for example neural network, fuzzy logic, Genetic algorithms and swarm intelligence. Soft Computing is suitable in the practical applications, also. As an example, it can automatic calibrate the excavator deep meter system.
Soft computing; neural network, excavator, simulation; acceleration sensor