Performing optical logic operations by a diffractive neural network
نویسندگان
چکیده
منابع مشابه
A Neural Network Performing Boolean Logic Operations
A neural network, composed of neurons of two types, able to perform Boolean operations is presented. Based on recursive definition of ”basic Boolean operations” the proposed model, for any fixed number of input variables, can either realize all of them paralelly, or accomplish any chosen one of them alone. Moreover, possibilities of combining a few such networks into more complex structures in ...
متن کاملUAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...
متن کاملPerforming Arithmetic Operations with Spiking Neural P Systems
We consider spiking neural P systems as devices which can be used to perform some basic arithmetic operations, namely addition, subtraction, comparison and multiplication by a fixed factor. The input to these systems are natural numbers expressed in binary form, encoded as appropriate sequences of spikes. A single system accepts as inputs numbers of any size. The present work may be considered ...
متن کاملSuppliers 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 کاملGeneralized design of diffractive optical elements using neural networks
Diffractive optical elements (DOE) utilize diffraction to manipulate light in optical systems. These elements have a wide range of applications including optical interconnects, coherent beam addition, laser beam shaping and refractive optics aberration correction. Due to the wide range of applications, optimal design of DOE has become an important research problem. In the design of the DOEs, ex...
متن کاملذخیره 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: Light: Science & Applications
سال: 2020
ISSN: 2047-7538
DOI: 10.1038/s41377-020-0303-2