Hierarchical estimation approach for RBF-AR models with regression weights based on the increasing data length
Y Zhou, X Zhang, F Ding - … on Circuits and Systems II: Express …, 2021 - ieeexplore.ieee.org
In the radial basis function-based state-dependent autoregressive (RBF-AR) models with
regression weights, the local linear models are included between the hidden layers and the …
regression weights, the local linear models are included between the hidden layers and the …
A novel nonlinear optimization method for fitting a noisy Gaussian activation function
J Li, F Ding, T Hayat - … Journal of Adaptive Control and Signal …, 2022 - Wiley Online Library
It is significant to fit a Gaussian function with the observation data for artificial intelligence or
other engineering fields. Considering the influence of noises, this article proposes a …
other engineering fields. Considering the influence of noises, this article proposes a …
Pearson correlation coefficient-based performance enhancement of broad learning system for stock price prediction
G Li, A Zhang, Q Zhang, D Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Accurate prediction of a stock price is a challenging task due to the complexity, chaos, and
non-linearity nature of financial systems. In this brief, we proposed a multi-indicator feature …
non-linearity nature of financial systems. In this brief, we proposed a multi-indicator feature …
Analog gaussian function circuit: Architectures, operating principles and applications
This review paper explores existing architectures, operating principles, performance metrics
and applications of analog Gaussian function circuits. Architectures based on the translinear …
and applications of analog Gaussian function circuits. Architectures based on the translinear …
Reconfigurable mixed-kernel heterojunction transistors for personalized support vector machine classification
Advances in algorithms and low-power computing hardware imply that machine learning is
of potential use in off-grid medical data classification and diagnosis applications such as …
of potential use in off-grid medical data classification and diagnosis applications such as …
3D printing of conductive polymer aerogel thermoelectric generator with tertiary doping
The rapid advancement of conductive polymer aerogel for thermoelectric application has
predominantly depended on the use of performance-enhancing additives for improvement in …
predominantly depended on the use of performance-enhancing additives for improvement in …
A low-power analog integrated implementation of the support vector machine algorithm with on-chip learning tested on a bearing fault application
A novel analog integrated implementation of a hardware-friendly support vector machine
algorithm that can be a part of a classification system is presented in this work. The utilized …
algorithm that can be a part of a classification system is presented in this work. The utilized …
An ultra-low power adjustable current-mode analog integrated general purpose artificial neural network classifier
V Alimisis, A Papathanasiou, E Georgakilas… - … -International Journal of …, 2024 - Elsevier
This study introduces a methodology tailored to analog hardware architecture for
implementing an artificial neural network. The fundamental components of the architecture …
implementing an artificial neural network. The fundamental components of the architecture …
Monolithic design of self-adaptive CMOS converter and robust event-triggered consensus control for integration of multi-renewable energy sources with battery …
Recently, integrating renewable energy sources (RESs) has been one of the most effective
ways to overcome the power shortage problems due to the cumulative load demand, which …
ways to overcome the power shortage problems due to the cumulative load demand, which …
General methodology for the design of bell-shaped analog-hardware classifiers
This study introduces a general methodology for the design of analog integrated bell-
shaped classifiers. Each high-level architecture is composed of several Gaussian function …
shaped classifiers. Each high-level architecture is composed of several Gaussian function …