Spiking Neural P Systems for Time Series Analysis

Jun Wang, Hong Peng

• Publisher: Wiley-IEEE Press
• Year: 2025
• Print ISBN: 9781394381579
• eBook ISBN: 9781394381586
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Engineering
• Index: Computer Science

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 systems
• Comprehensive explorations of a variety of recurrent-like models for time series forecasting, including LSTM-SNP and GSNP models
• Practical discussions of common problems in reservoir computing models, including classification problems
• Complete 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.

Table of contents

• Cover
• Table of Contents
• Title Page
• Copyright
• About the Authors
• Preface
• Acknowledgments
• Acronyms
• Chapter 1: Introduction
• Chapter 2: Spiking Neural P Systems
• Chapter 3: Recurrent-like Models for Time-series Forecasting
• Chapter 4: Echo-like Models for Time Series Forecasting
• Chapter 5: Reservoir Computing Models for Time Series Classification
• Chapter 6: Financial Time Series Analysis
• Chapter 7: Power Load Forecasting and Photovoltaic Power Forecasting
• Chapter 8: Medical Signal Processing
• Index
• End User License Agreement