Results 121 to 130 of about 7,211,078 (250)

Application of a Modified Generalized Regression Neural Networks Algorithm in Economics and Finance [PDF]

, 2011
In this paper we propose an alternative and modified Generalized Regression Neural Networks Autoregressive model (GRNN-AR) in S&P 500 and FTSE 100 index returns, as also in Gross domestic product growth rate of Italy, USA and UK. We compare the forecasts
Giovanis, Eleftherios
core  

Flexible orbital angular momentum mode switching in multimode fibre using an optical neural network chip

Light: Advanced Manufacturing
Mode-division multiplexing technology has been proposed as a crucial technique for enhancing communication capacity and alleviating growing communication demands.
Zhengsen Ruan, Yuanjian Wan, Lulu Wang, Wei Zhou, Jian Wang   +4 more
doaj   +1 more source

Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing

Advanced Functional Materials, EarlyView.
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin, Eunjoo Yoo, Ki‐Hoon Son, Hyun‐Sik Kim, Dae‐Hee Han, Jeong Hyeon Son, Seung Hwan Lee, Hong‐Sub Lee   +7 more
wiley   +1 more source

All-Optical Buffering Using Laser Neural Networks [PDF]

, 2003
We demonstrate an all-optical buffering method that can handle contention of three optical packets. We have employed a laser neural network as an all-optical arbiter that decides whether packet contention takes place.
Hill, M.T., Liu, Y., Hill, MT Martin, G. D. Khoe, Waardt, H Hugo = Huug de, H. J. S. Dorren, M. T. Hill, Liu, Y Yong, H. De Waardt, H.J.S. Dorren, Waardt, de, H., Y. Liu, Khoe, GD Giok-Djan, Khoe, G.D., Dorren, HJS Harm, G.D. Khoe, Dorren, H.J.S., M.T. Hill, Liu Student Member, Y. Liu   +19 more
core   +2 more sources

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Broadband Backhaul Communication for Stratospheric Platforms: The Stratospheric Optical Payload Experiment (STROPEX) [PDF]

, 2006
A high bitrate optical downlink was performed by the stratospheric optical payload experiment (STROPEX), a part of the EU CAPANINA project. The STROPEX objectives were to design and build the necessary hardware to demonstrate an optical backhaul downlink
Knapek, Markus, Markus Knapek, Martin Brechtelsbauer, Joachim Horwath, Horwath, Joachim, Wilkerson, Brandon, Brandon Wilkerson, Brechtelsbauer, Martin, Bernhard Epple, Epple, Bernhard   +9 more
core   +1 more source

Slimmed Optical Neural Networks with Multiplexed Neuron Sets and a Corresponding Backpropagation Training Algorithm

Intelligent Computing
Optical neural networks (ONNs) have recently attracted extensive interest as potential alternatives to electronic artificial neural networks, owing to their intrinsic capabilities in parallel signal processing with reduced power consumption and low ...
Yi-Feng Liu, Rui-Yao Ren, Dai-Bao Hou, Hai-Zhong Weng, Bo-Wen Wang, Ke-Jie Huang, Xing Lin, Feng Liu, Chen-Hui Li, Chao-Yuan Jin   +9 more
doaj   +1 more source

Engineered Nanotopography to Modulate Growth and Signaling of Neuronal Networks

Advanced Functional Materials, EarlyView.
This study examines the interaction between neurons and nanoscale topographies on engineered substrates. Neurons cultured on nanowires, nanopillars and nanoneedles exhibit enhanced neurite outgrowth, form more organized neuronal circuits, and display improved synaptic connectivity, compared to flat substrates.
Hao Nguyen Tran, Kalyan Shobhana, Zlatan Trifunovic, Dan Smith, Michael Stuiber, Chennupati Jagadish, Mirella Dottori, Andrea J. O'Connor, Vini Gautam   +8 more
wiley   +1 more source

Performance of the wavelet-transform-neural network based receiver for DPIM in diffuse indoor optical wireless links in presence of artificial light interference [PDF]

, 2009
Artificial neural network (ANN) has application in communication engineering in diverse areas such as channel equalization, channel modeling, error control code because of its capability of nonlinear processing, adaptability, and parallel processing.
Ghassemlooy, Zabih, Angelova, Maia, Rajbhandari, Sujan, Zabih Ghassemlooy, Maia Angelova, Sujan Rajbhandari   +5 more
core  

Deferring the learning for better generalization in radial basis neural networks [PDF]

, 2001
Proceeding of: International Conference Artificial Neural Networks — ICANN 2001. Vienna, Austria, August 21–25, 2001The level of generalization of neural networks is heavily dependent on the quality of the training data.
Galván, Inés M., Inés María Galván, Pedro Isasi, José María Valls, Valls, José M., Isasi, Pedro   +5 more
core   +1 more source