11-27-2014, 03:43 PM
Intelligent aircraft system” must be a fast real time system, which includes various dimensions ranging from
geographic localization towards target vision in any kind of situation e.g. Thunderstorm, Rain, Heavy, Clouds,
Foggy Weather, Darkness of Night etc. The system is successful, if equipped with strong communication channel
to its remote control tower and other peer aircrafts.
The aircraft can travel to long distance in minimum fuel consumption and in minimum time, so to avoid decision
making due to time dilation. The intelligent system, if made equipped with supervised learning to fill the learning
repository at such level, so that in 100th
or 1000th
iteration in terms of decision making involving dangerous turns
over the hills or targeting blurred object, so that to get maximum chance of accuracy.
The transition from supervised learning mode towards unsupervised learning mode leads the aircraft system more
functional in terms of independent decision making. The fuel, body, location, mileage, missile and weather are
the primary attributes to consider. The aim of intelligent aircraft system is to reach to remote locations and took
over the proceeding’s like war situation, flood situation, earthquake situation etc. According to the feeding or
reactive element provided to the system.
geographic localization towards target vision in any kind of situation e.g. Thunderstorm, Rain, Heavy, Clouds,
Foggy Weather, Darkness of Night etc. The system is successful, if equipped with strong communication channel
to its remote control tower and other peer aircrafts.
The aircraft can travel to long distance in minimum fuel consumption and in minimum time, so to avoid decision
making due to time dilation. The intelligent system, if made equipped with supervised learning to fill the learning
repository at such level, so that in 100th
or 1000th
iteration in terms of decision making involving dangerous turns
over the hills or targeting blurred object, so that to get maximum chance of accuracy.
The transition from supervised learning mode towards unsupervised learning mode leads the aircraft system more
functional in terms of independent decision making. The fuel, body, location, mileage, missile and weather are
the primary attributes to consider. The aim of intelligent aircraft system is to reach to remote locations and took
over the proceeding’s like war situation, flood situation, earthquake situation etc. According to the feeding or
reactive element provided to the system.