Amanote Research

Amanote Research

    RegisterSign In

Evolving Connectionist Systems for Adaptive Learning and Knowledge Discovery: Trends and Directions

Knowledge-Based Systems - Netherlands
doi 10.1016/j.knosys.2014.12.032
Full Text
Open PDF
Abstract

Available in full text

Categories
SoftwareInformation SystemsManagementArtificial IntelligenceManagement Information Systems
Date

May 1, 2015

Authors
Nikola K. Kasabov
Publisher

Elsevier BV


Related search

Evolving Connectionist Systems for Adaptive Sport Coaching

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

A General Framework for Adaptive Anomaly Detection With Evolving Connectionist Systems

2004English

Nominal-Scale Evolving Connectionist Systems

2006English

Adaptive Connectionist Systems for Engineering Applications

Evolving Systems
ControlSystems EngineeringOptimizationSimulationComputer Science ApplicationsModeling
2013English

Knowledge Discovery: Some Empirical Evidence and Directions for Future Research

2001English

Evolving Trends in Plant-Based Drug Discovery

Plant Genetic Resources: Characterisation and Utilisation
Plant ScienceAgronomyCrop ScienceGenetics
2016English

Adaptive and Learning Systems

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
2010English

Convergence of Teams and Hierarchies of Learning Automata in Connectionist Systems

IEEE Transactions on Systems, Man, and Cybernetics
1995English

Ontology Learning and Knowledge Discovery Using the Web

2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy