haider yahya saeed alkufe

Recentlly,the.development.of.contemporary.telecommunications.has.led.to.an.exponential.expansion.in.information.technology.The.development.of.high.quality.and.high.speed.Communications.systems.is especially dependent upon optical fiber connection. In order to obtain high signaling speeds, optical fibers are now employed not only in telephony systems but also in the Internet and local area networks (LAN). In the single mode optical fiber, the bending impact on coherent light was investigated. Single mode optical fiber consisting of silica and rotating cylinders of various diameters are used in this thesis. Laser with fiber optics loop mirror double gain has recently become one of the most important subjects. Many researchers have been reported the main problem in this type of systems which is nonlinearity of the amplification properties. One solution for this crucial issue is using the deep learning and evolutionary searching algorithm. In this thesis, proposed a listed the main evolutionary algorithm of the optical simulation model and demonstrate the simulation results to solve this problem. The author noticed that a software architecture utilizing advancements in adaptive control and machine learning offers the best integration platform for self-tuning optics. In order to implement a training and execution software module capable of self-tuning the laser cavity even in the presence of mechanical and/or environmental perturbations, servo controllers can be combined with commercially available optical telecom components for mode-locked lasers. This could potentially stabilize a frequency roll. In the algorithm training step, the parameter space is thoroughly searched to identify the optimal performance areas for one or more interesting objective functions. Three activation are used with global optimazation techniques, genetic algorithm to find the best and shortest laser pulse duration , it finds the optimal solution 20 generation. The id1=5.9 mA and id2=1.9 mA. The PI controller has been enhacement the performance with optimal angle.

Recentlly,the.development.of.contemporary.telecommunications.has.led.to.an.exponential.expansion.in.information.technology.The.development.of.high.quality.and.high.speed.Communications.systems.is especially dependent upon optical fiber connection. In order to obtain high signaling speeds, optical fibers are now employed not only in telephony systems but also in the Internet and local area networks (LAN). In the single mode optical fiber, the bending impact on coherent light was investigated. Single mode optical fiber consisting of silica and rotating cylinders of various diameters are used in this thesis. Laser with fiber optics loop mirror double gain has recently become one of the most important subjects. Many researchers have been reported the main problem in this type of systems which is nonlinearity of the amplification properties. One solution for this crucial issue is using the deep learning and evolutionary searching algorithm. In this thesis, proposed a listed the main evolutionary algorithm of the optical simulation model and demonstrate the simulation results to solve this problem. The author noticed that a software architecture utilizing advancements in adaptive control and machine learning offers the best integration platform for self-tuning optics. In order to implement a training and execution software module capable of self-tuning the laser cavity even in the presence of mechanical and/or environmental perturbations, servo controllers can be combined with commercially available optical telecom components for mode-locked lasers. This could potentially stabilize a frequency roll. In the algorithm training step, the parameter space is thoroughly searched to identify the optimal performance areas for one or more interesting objective functions. Three activation are used with global optimazation techniques, genetic algorithm to find the best and shortest laser pulse duration , it finds the optimal solution 20 generation. The id1=5.9 mA and id2=1.9 mA. The PI controller has been enhacement the performance with optimal angle.