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Neural Computation of Alpha Parameter with the use of Differential Gain, Wavelength and number of Quantum-Wells


A different method to determine a (Alpha) parameter for different number of Quantum-wells is presented . The Levenberg-Marquardt algorithm is used to train the Artificial Neural Networks(ANNs) which has a quadratic speed of convergence . Both the computed and the test results are in very good agreem......

【作者名称】: Fatih V. Celebi, Kenan Danisman, Remzi Yildirim
【作者单位】: Baskent University, Faculty of Engineering, Baglica Kampusu 06530 ,Ankara, Turkey
【关 键 词】: alpha parameter, artificial neural networks, levenberg-marquardt, quantum-well
【会议名称】: Conference on Photonics: Design, Technology, and Packaging; Dec 10-12, 2003; Perth, Australia
【期刊论文数据库】: [DBS_Articles_02]
【期刊论文编号】: 112,492,814
【摘要长度】: 353
【会议地点】: Perth(AU);Perth(AU)
【会议组织】: Baskent University, Faculty of Engineering, Baglica Kampusu 06530 ,Ankara, Turkey
【会议时间】: 2003
【上篇论文】: 外文会议 - Tunable optical filters employing microphotonics
【下篇论文】: 外文会议 - Layout considerations for 2D planar waveguide OXC with integrated lens pair

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