Recurrent Quantum Neural NetworksJohannes Bausch
Non-Gaussian noise; Non-linear; Parametric sensitivity; Quantum neural networks; Data processing; Discriminant analysis; Electroencephalography; Gaussian noise (electronic); Interfaces (computer); Learning algorithms; Network architecture; Recurrent neural networks; Solitons; Unsupervised learning; Brain compute...
Deep Neural Network (DNN) Deep Learning Artificial General Intelligence (AGI) Echo State Network Boltzmann Machine Gated Recurrent Unit Machine Learning (ML) Related Reading 150+ Essential Artificial Intelligence Statistics for 2025: Who’s Using AI & How?
In particular the performance of a class of predictors based on recurrent neural networks is presented. The training strategy is accurately described and the results of a comparison with some other classical linear and static neural predictors are given. The proposed recurrent neural predictor ...
8. Construction of Nonlinear Quantized Fields : Introduction to Algebraic and Constructive Quantum Field Theory Fragments of antimicrobial peptides were used for modeling with molecular modeling computational tools. To analyze these peptides, a decision tree model, ... Baez,JC/ Segal,IE/ Zhou,......
Resonance structures and features are ubiquitous in optical science. However, capturing their time dynamics in real-world scenarios suffers from long data acquisition time and low analysis accuracy due to slow convergence and limited time windows. Here we report a physics-informed recurrent neural netw...
Nanjing University of Information Science and Technology (NUIST) Researchers Hig hlight Recent Research in Machine Learning (Application of Quantum Recurrent Neu ral Network in Low-Resource Language Text Classification) 来自 国家科技图书文献中心 喜欢 0 阅读量: 12 摘要: By a News Reporter-Staff ...
Recurrent Neural Networks (RNNs) are the deep learning models which are considered the state-of-the-art for sequence modeling and machine translation tasks. One of the most used RNN architectures is the Encoder-Decoder network, which consists of two networks, one encoding the input sequence to ...
Feng Z-k, Niu W-j, Tang Z-y, Jiang Z-q, Xu Y, Liu Y, Zhang H-r (2020) Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization. J Hydrol 583:124627. https://doi.org/10.1016/j.jhydrol.202...
B. Femtosecond pulse compression using a neural-network algorithm. Opt. Lett. 43, 5166–5169 (2018). Article Google Scholar Wright, L. G. et al. Multimode nonlinear fiber optics: massively parallel numerical solver, tutorial and outlook. IEEE J. Select. Top. Quantum Electron. 24, 1–16...