In this paper, we review the progress of optical neural networks. Firstly, based on the principle of artificial neural networks, we elaborate the essence of optical matrix multiplier for linear operation. Then we introduce the optical neural network achieved by free-space optical interconnection and...
we offer a review on the optical neural computing in our research groups at the device and system levels.The photonics neuron and photonics synapse plasticity are presented.In addition,we introduce several optical neural computing architectures and algorithms including photonic spiking neural network,...
aThe role of optical vector-vector dot products in executing the forward-pass operation in a fully connected neural network. The weighted sums of neural activations are performed optically (shaded area) and the element-wise nonlinear activation functions are performed electronically. Each neuron in the...
and has been widely used in medical image analysis, molecular and material science, language recognition and other fields. As the basis of artificial intelligence, the research results of neural network are remarkable. However, due to the inherent defect that electrical...
and novel training algorithms for the deep neural network. It is currently promoting increased interests and gaining extensive attention for its utilization in the field of optical metrology. Unlike the traditional “physics-based” approach, deep-learning-enabled optical metrology is a kind of “data...
Review article: Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements. Int J Remote Sens. 1998; 19 :2639–2663.Kimes, D.S.; Nelson, R.F.; Manry, M.T.; Fung, A.K. Review article: Attributes of neural networks for extracting ...
Special attention should be paid to the research of neural network systems that may lead to a new generation of intelligent computing technologies. The magazine welcomes manuscript submissions from around the world and follows Springer Nature's peer review policy and editorial code of conduct. The ...
Huang H,Feng G.Delay-dependent stability for uncertainstochastic neural networks with time-varying delay.Physical Review A Atomic Molecular and Optical Physics... H He,F Gang - 《Physica A-statistical Mechanics & Its Applications》 被引量: 248发表: 2007年 A Convolutional Neural Network Approach ...
aAn optical neural network is composed of an input layer, multiple hidden layers and an output layer. In our complex-valued design, the light signals are encoded and manipulated by both magnitude and phase during the initial input preparation and network evolution.bThe schematic of the ONC in ...
Here, we demonstrate the first scalable integrated diffractive neural network (IDNN) chip using silicon PICs, which is capable of performing the parallel Fourier transform and convolution operations. Due to the utilization of on-chip compact diffractive cells (slab waveguides), both the footprint and...