Evolving Systems View Homepage


Ontology type: schema:Periodical     


Journal Info

START YEAR

N/A

PUBLISHER

Springer Berlin Heidelberg

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/12530

Recent publications latest 20 shown

  • 2019-04-08 Estimates of residential building energy consumption using a multi-verse optimizer-based support vector machine with k-fold cross-validation
  • 2019-04-06 New fundamental modulation technique with SHE using shuffled frog leaping algorithm for multilevel inverters
  • 2019-03-29 An efficient method for classifying motor imagery using CPSO-trained ANFIS prediction
  • 2019-03-27 Editorial
  • 2019-03-19 General controllability and observability tests for Takagi-Sugeno fuzzy systems
  • 2019-03-15 Robust aerial image mosaicing algorithm based on fuzzy outliers rejection
  • 2019-03-15 Self-organized direction aware for regularized fuzzy neural networks
  • 2019-03-07 An improved particle swarm optimization (PSO): method to enhance modeling of airborne particulate matter (PM10)
  • 2019-03-04 An improved decision support system for ABC inventory classification
  • 2019-03-02 Energy-efficient clustering method for wireless sensor networks using modified gravitational search algorithm
  • 2019-02-27 Spatial shape feature descriptors in classification of engineered objects using high spatial resolution remote sensing data
  • 2019-02-25 Modelling gene interaction networks from time-series gene expression data using evolving spiking neural networks
  • 2019-02-23 Classification of breast mass in mammography using anisotropic diffusion filter by selecting and aggregating morphological and textural features
  • 2019-02-22 A genetic algorithm for spatiosocial tensor clustering
  • 2019-02-13 Local thresholding of degraded or unevenly illuminated documents using fuzzy inclusion and entropy measures
  • 2019-02-12 Application of hybrid forecast engine based intelligent algorithm and feature selection for wind signal prediction
  • 2019-02-07 Loss of target information in full pixel and subpixel target detection in hyperspectral data with and without dimensionality reduction
  • 2019-02-06 Integrating multiple methods to enhance medical data classification
  • 2019-01-29 Parameter identification of nonlinear system using an improved Lozi map based chaotic optimization algorithm (ILCOA)
  • 2019-01-24 A novel adaptive output feedback control for DC–DC boost converter using immersion and invariance observer
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    \"Evolving Systems\" covers surveys, methodological, and application-oriented papers in the emerging area of evolving systems. Evolving systems are inspired by the idea of system model evolution in a dynamically changing and evolving environment. They use inheritance and gradual change with the aim of life-long learning and adaptation, self-organization including system structure evolution in order to adapt to the (unknown and unpredictable) environment as structures for information representation with the ability to fully adapt their structure and adjust their parameters.

    \"Evolving Systems\" solicits publications that address the problems of modelling, control, prediction, classification and data processing in non-stationary, unpredictable environments and describe new methods and approaches for design of systems able to fully adapt its structure rather than adjust its parameters based on a pre-trained and fixed structure.

    The journal is devoted to the topic of self-developing, self-organised, and evolving systems in its entirety - from systematic methods to case studies and real industrial applications. It covers all aspects of the methodology such as

    • conventional systems,
    • neuro-fuzzy systems,
    • evolutionary systems,
    • Bayesian systems,
    • machine learning methods,
    • clustering, and
    • classification,

    but also looking at new paradigms and applications, including medicine, robotics, business, industrial automation, control systems, transportation, communications, environmental monitoring, biomedical systems, security, and electronic services. The common features for all submitted methods and systems are evolvability and knowledge discovery.

    The journal is encompassing contributions related to:\u00a0

    1) Methods of computational intelligence and\u00a0mathematical modelling\u00a0

    2)\u00a0Inspiration from Nature and Biology, including Neuroscience, Bioinformatics and Molecular biology, Quantum physics

    3)\u00a0Applications in engineering, business, social sciences.\u00a0

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