Results 41 to 50 of about 786,949 (131)
Seven properties of self-organization in the human brain [PDF]
, 2020 The principle of self-organization has acquired a fundamental significance in the newly emerging field of computational philosophy. Self-organizing systems have been described in various domains in science and philosophy including physics, neuroscience ...
Dresp-Langley, Birgitta
core +3 more sources
Complexity, 2021 Security issue against different attacks is the core topic of cyberphysical systems (CPSs). In this paper, optimal control theory, reinforcement learning (RL), and neural networks (NNs) are integrated to provide a brief overview of optimal robust control
Bo Hu +5 more
doaj +1 more source
Hopf Bifurcation and Chaos in Tabu Learning Neuron Models [PDF]
, 2004 In this paper, we consider the nonlinear dynamical behaviors of some tabu leaning neuron models. We first consider a tabu learning single neuron model. By choosing the memory decay rate as a bifurcation parameter, we prove that Hopf bifurcation occurs in
CHUNGUANG LI +6 more
core +2 more sources
Complexity, 2022 This paper proposes an adaptive formation tracking control algorithm optimized by Q-learning scheme for multiple mobile robots. In order to handle the model uncertainties and external disturbances, a desired linear extended state observer is designed to ...
Chen Zhang +4 more
doaj +1 more source
Differential Privacy in Federated Learning: An Evolutionary Game Analysis
Applied SciencesThis paper examines federated learning, a decentralized machine learning paradigm, focusing on privacy challenges. We introduce differential privacy mechanisms to protect privacy and quantify their impact on global model performance.
Zhengwei Ni, Qi Zhou
doaj +1 more source
A geometrical analysis of global stability in trained feedback networks [PDF]
, 2019 Recurrent neural networks have been extensively studied in the context of neuroscience and machine learning due to their ability to implement complex computations. While substantial progress in designing effective learning algorithms has been achieved in
Mastrogiuseppe, Francesca +1 more
core +2 more sources
International Journal of Applied Mathematics and Computer Science, 2014 This paper is concerned with the problem of designing a robust modiļ¬ed repetitive-control system with a dynamic output feedback controller for a class of strictly proper plants.
Zhou Lan, She Jinhua, Zhou Shaowu
doaj +1 more source
Data expansion with Huffman codes [PDF]
, 1995 The following topics were dealt with: Shannon theory; universal lossless source coding; CDMA; turbo codes; broadband networks and protocols; signal processing and coding; coded modulation; information theory and applications; universal lossy source ...
Cheng, Jung-Fu +3 more
core
Learning Sets with Separating Kernels
, 2014 We consider the problem of learning a set from random samples. We show how relevant geometric and topological properties of a set can be studied analytically using concepts from the theory of reproducing kernel Hilbert spaces.
De Vito, Ernesto +2 more
core +1 more source
Lyapunov theory demonstrating a fundamental limit on the speed of systems consolidation
Physical Review ResearchThis article is part of the Physical Review Research collection titled Physics of Neuroscience. The nervous system reorganizes memories from an early site to a late site, a commonly observed feature of learning and memory systems known as systems ...
Alireza Alemi +2 more
doaj +1 more source