Random vector functional link networks for function approximation on manifolds
Frontiers in Applied Mathematics and StatisticsThe learning speed of feed-forward neural networks is notoriously slow and has presented a bottleneck in deep learning applications for several decades. For instance, gradient-based learning algorithms, which are used extensively to train neural networks,
Deanna Needell +4 more
doaj +1 more source
Robust Regularized Random Vector Functional Link Network and Its Industrial Application
IEEE Access, 2017 Production quality indices of complex industrial processes are usually hard to be measured in real time, which leads to unavailability of closed-loop operational optimization and control.
Wei Dai +4 more
doaj +1 more source
Android malware classification based on random vector functional link and artificial Jellyfish Search optimizer. [PDF]
PLoS One, 2021 Elkabbash ET +3 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
International Journal of Adaptive Control and Signal Processing, EarlyView.This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Research on Combination of Random Zero-Vector PWM Controller
机车电传动, 2018 According to theoretically equivalent principle, the space vector pulse width modulation technique was equivalent to zero sequence component injected sinusoidal pulse width modulation (SPWM).
ZHANG Guangyuan, WU Zhiyou, JIANG Tao
doaj
Analysis of Asperger Syndrome Using Genetic-Evolutionary Random Support Vector Machine Cluster
Frontiers in Physiology, 2018 Asperger syndrome (AS) is subtype of autism spectrum disorder (ASD). Diagnosis and pathological analysis of AS through resting-state fMRI data is one of the hot topics in brain science.
Xia-an Bi +5 more
doaj +1 more source
Approximation of Projections of Random Vectors [PDF]
Journal of Theoretical Probability, 2010 Typo in abstract corrected; $k=c\sqrt{\log(d)}$, not $c\log(d)$.
openaire +3 more sources
K-differenced vector random fields
, 2019 Click on the DOI link to access the article (may not be free).A thin-tailed vector random field, referred to as a K-differenced vector random field, is introduced. Its finite-dimensional densities are the differences of two Besse!
Alsultan, Rehab, Ma, Chunsheng
core +1 more source
What Do Large Language Models Know About Materials?
Advanced Engineering Materials, EarlyView.If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
An application of the analogy between vector ARCH and vector random coefficient autoregressive models [PDF]
In this paper we derive conditions for the conditional covariance matrix to be positive definite in a general vector ARCH model. The conditions can be easily extended to the diagonal vector GARCH model.
He, Changli, Teräsvirta, Timo
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