Robust Training of Optical Neural Network with Practical Errors using Genetic Algorithm: A Case Study in Silicon-on-Insulator-Based Photonic Integrated Chips

2021 ◽  
Author(s):  
Rui Shao ◽  
Guangcheng Zhao ◽  
Gong Zhang ◽  
Xiao Gong
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Silicon On Insulator ◽  
Optical Neural Network

scholarly journals Improving applicability of neuro-genetic algorithm to predict short-term water level: a case study

2013 ◽  
Vol 16 (1) ◽  
pp. 218-230 ◽  
Author(s):  
Gooyong Lee ◽  
Sangeun Lee ◽  
Heekyung Park
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Water Level ◽  
Neural Network Model ◽  
Artificial Neural Network Model ◽  
River Management ◽  
Water Levels ◽  
Short Term

This paper proposes a practical approach of a neuro-genetic algorithm to enhance its capability of predicting water levels of rivers. Its practicality has three attributes: (1) to easily develop a model with a neuro-genetic algorithm; (2) to verify the model at various predicting points with different conditions; and (3) to provide information for making urgent decisions on the operation of river infrastructure. The authors build an artificial neural network model coupled with the genetic algorithm (often called a hybrid neuro-genetic algorithm), and then apply the model to predict water levels at 15 points of four major rivers in Korea. This case study demonstrates that the approach can be highly compatible with the real river situations, such as hydrological disturbances and water infrastructure under emergencies. Therefore, proper adoption of this approach into a river management system certainly improves the adaptive capacity of the system.

scholarly journals On-chip Reconfigurable Optical Neural Networks

2021 ◽  
Author(s):  
Xianmeng Zhao ◽  
Haibin Lv ◽  
Cheng Chen ◽  
Shenjie Tang ◽  
Xiaoping Liu ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Optical Networks ◽  
Full Adder ◽  
Silicon On Insulator ◽  
Neuron Networks ◽  
Control Electronics ◽  
Optical Neural Network ◽  
Vowel Recognition ◽  
On Chip

Abstract Implementing artificial neural networks on integrated platforms has generated significant interest in recent years. Several architectures for on-chip optical networks with basic functionalities have been successfully demonstrated, for example, optical spiking neurosynaptic, photonic convolution accelerator, and nanophotonic/electronic hybrid deep neuron networks. In this work, we propose a layered coherent silicon-on-insulator diffractive optical neural network, of which the inter-layer phase delay can be actively tuned. By forming a close-loop with control electronics, we further demonstrate that our fabricated on-chip neural network can be trained in-situ and consequently reconfigured to perform various tasks, including full adder operation and vowel recognition, while achieving almost the same accuracy as networks trained on conventional computers. Our results show that the proposed optical neural network could potentially pave the way for future optical artificial intelligence hardware.

A Combination of Artificial Neural Network and Genetic Algorithm to Optimize Gas Injection: A Case Study for EOR Applications

2021 ◽  
pp. 116654
Author(s):  
Arash Javadi ◽  
Aghil Moslemizadeh ◽  
Vahid Sheikhol Moluki ◽  
Nader Fathianpour ◽  
Omid Mohammadzadeh ◽  
...  
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Artificial Neural Network ◽  
Gas Injection ◽  
Artificial Neural
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