Deep-Neural-Network-Based Wavelength Selection and Switching in ROADM Systems

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Short term electric load prediction based on deep neural network and wavelet transform and input selection

Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...

متن کامل

Speeding up deep neural network based speech recognition systems

Recently, deep neural network (DNN) based acoustic modeling has been successfully applied to large vocabulary continuous speech recognition (LVCSR) tasks. A relative word error reduction around 20% can be achieved compared to a state-of-the-art discriminatively trained Gaussian Mixture Model (GMM). However, due to the huge number of parameters in the DNN, real-time decoding is a bottleneck for ...

متن کامل

Suppliers Selection in Consideration of Risks by a Neural Network

Faced with the dynamic demands of a changing market, companies are facing fierce competition, which forces them to consider more and more new approaches to improve quality, reduce costs, produce on time, control their risks and remain successful in the face of any disruption. It is clear that the choice of appropriate suppliers is one of the key factors in increasing the competitiveness of comp...

متن کامل

Modeling SMA actuated systems based on Bouc-Wen hysteresis model and feed-forward neural network

Despite the fact that shape-memory alloy (SMA) has several mechanical advantages as it continues being used as an actuator in engineering applications, using it still remains as a challenge since it shows both non-linear and hysteretic behavior. To improve the efficiency of SMA application, it is required to do research not only on modeling it, but also on control hysteresis behavior of these m...

متن کامل

Anomaly-based Web Attack Detection: The Application of Deep Neural Network Seq2Seq With Attention Mechanism

Today, the use of the Internet and Internet sites has been an integrated part of the people’s lives, and most activities and important data are in the Internet websites. Thus, attempts to intrude into these websites have grown exponentially. Intrusion detection systems (IDS) of web attacks are an approach to protect users. But, these systems are suffering from such drawbacks as low accuracy in ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Optical Communications and Networking

سال: 2018

ISSN: 1943-0620,1943-0639

DOI: 10.1364/jocn.10.0000d1