Spiking Neural P Systems for Time Series Analysis



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Wiley-IEEE Press


Paru le : 2025-12-04



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Description

An up-to-date and accurate discussion of spiking neural P systems in time series analysis
In Spiking Neural P Systems for Time Series Analysis, the authors explore the fundamentals and the current states of both spiking neural P systems and time series analysis, examining the application models of time series analysis. You’ll also find walkthroughs of recurrent-like, echo-like, and reservoir computing models for time series prediction.
The book covers applications in time series analysis such as financial time series analysis, power load forecasting, photovoltaic power forecasting, and medical signal processing, and contains illustrative photographs and tables designed to improve reader understanding.
Readers will also find: A thorough introduction to the theoretical and application research relevant to membrane computing and spiking P neural systemsComprehensive explorations of a variety of recurrent-like models for time series forecasting, including LSTM-SNP and GSNP modelsPractical discussions of common problems in reservoir computing models, including classification problemsComplete evaluations of models used in financial time series analysis, power load forecasting, and other techniques
Perfect for scientists, researchers, postgraduates, lecturers, and teachers, Spiking Neural P Systems for Time Series Analysis will also benefit undergraduate students interested in advanced techniques for time series analysis.
Pages
240 pages
Collection
n.c
Parution
2025-12-04
Marque
Wiley-IEEE Press
EAN papier
9781394381579
EAN PDF
9781394381593

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
5396 Ko
Prix
150,86 €
EAN EPUB
9781394381586

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
240
Taille du fichier
12196 Ko
Prix
150,86 €

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