scientific article; zbMATH DE number 5253701
From MaRDI portal
Publication:5452298
zbMath1140.68434MaRDI QIDQ5452298
Publication date: 26 March 2008
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
cellular automataparticle swarm optimisationspiking neural networksmodel integrationadaptive dataartificial life systemstransductive neuro-fuzzy inference
Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science (68-01) Learning and adaptive systems in artificial intelligence (68T05) Cellular automata (computational aspects) (68Q80) General topics in artificial intelligence (68T01)
Related Items (14)
Stimulus classification using chimera-like states in a spiking neural network ⋮ Generalized Nets as a Tool for the Modelling of Data Mining Processes ⋮ Unsupervised anomaly detection in multivariate time series with online evolving spiking neural networks ⋮ Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification ⋮ Evolving spiking neural networks for online learning over drifting data streams ⋮ Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: design methodology and selected applications ⋮ Robust Data-Driven Fault Detection in Dynamic Process Environments Using Discrete Event Systems ⋮ Computational capabilities of analog and evolving neural networks over infinite input streams ⋮ Using connectionist systems for electric energy consumption forecasting in shopping centers ⋮ Achieving a compromise between performance and complexity of structure: an incremental approach ⋮ A meaning based information theory - informalogical space: basic concepts and convergence of information sequences ⋮ Autonomously evolving classifier TEDAClass ⋮ Integrative connectionist learning systems inspired by nature: Current models, future trends and challenges ⋮ A novel call admission control policy using mobility prediction and throttle mechanism for supporting QoS in wireless cellular networks
Uses Software
This page was built for publication: