Results 151 to 160 of about 7,675,115 (371)

Switched-capacitor neural networks for linear programming [PDF]

, 1988
Á. Rodríguez‐Vázquez, A. Rueda, J.L. Huertas, R. Domínguez‐Castro   +3 more
openalex   +1 more source

Longitudinal Relationship Between Pain and Depression in People With Inflammatory Arthritis: A Narrative Review

Arthritis Care &Research, EarlyView.
As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Comorbid depression is prevalent in adults with IA, affecting 15% to 39% of people. Although pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox, Saeed Farooq, Helen Twohig, Ian C. Scott   +3 more
wiley   +1 more source

Distinct associations between gratitude, self-esteem, and optimism with subjective and psychological well-being among Japanese individuals

BMC Psychology
Background Mounting evidence suggests that the effectiveness of positive psychology interventions is influenced by a variety of factors, including cultural context.
Norberto Eiji Nawa, Noriko Yamagishi
doaj   +1 more source

From basic network principles to neural architecture: emergence of orientation columns. [PDF]

, 1986
R Linsker
openalex   +1 more source

VLSI architectures for implementation of neural networks [PDF]

, 1986
Massimo A. Sivilotti, Michael Emerling, Carver Mead   +2 more
openalex   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source

Memory Dynamics in Asynchronous Neural Networks [PDF]

, 1987
Ichiro Tsuda, Edgar Koerner, Hideki Shimizu   +2 more
openalex   +1 more source

Graph Neural Networks: A Review of Methods and Applications [PDF]

AI Open, 2018
Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun   +5 more
semanticscholar   +1 more source

Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation

International Journal of Adaptive Control and Signal Processing, EarlyView.
ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath, Bernard Twum Agyeman, Soumya Ranjan Sahoo, Xunyuan Yin, Jinfeng Liu   +4 more
wiley   +1 more source