1 option
Advanced Spiking Neural P Systems : Models and Applications / by Hong Peng, Jun Wang.
Springer Nature - Springer Computer Science eBooks 2024 English International Available online
View online- Format:
- Book
- Author/Creator:
- Peng, Hong.
- Series:
- Computational Intelligence Methods and Applications, 2510-1773
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer science.
- Image processing.
- Natural language processing (Computer science).
- Machine learning.
- Artificial Intelligence.
- Models of Computation.
- Theory of Computation.
- Image Processing.
- Natural Language Processing (NLP).
- Machine Learning.
- Local Subjects:
- Artificial Intelligence.
- Models of Computation.
- Theory of Computation.
- Image Processing.
- Natural Language Processing (NLP).
- Machine Learning.
- Physical Description:
- 1 online resource (304 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- Membrane computing is a class of distributed and parallel computing models inspired by living cells. Spiking neural P systems are neural-like membrane computing models, representing an interdisciplinary field between membrane computing and artificial neural networks, and are considered one of the third-generation neural networks. Models and applications constitute two major research topics in spiking neural P systems. The entire book comprises two parts: models and applications. In the model part, several variants of spiking neural P systems and fuzzy spiking neural P systems are introduced. Subsequently, their computational completeness is discussed, encompassing digital generation/accepting devices, function computing devices, and language generation devices. This discussion is advantageous for researchers in the fields of membrane computing, biologically inspired computing, and theoretical computer science, aiding in understanding the distributed computing model of spiking neural P systems. In the application part, the application of spiking neural P systems in time series prediction, image processing, sentiment analysis, and fault diagnosis is examined. This offers a novel method and model for researchers in artificial intelligence, data mining, image processing, natural language processing, and power systems. Simultaneously, it furnishes engineering and technical personnel in these fields with a powerful, efficient, reliable, and user-friendly set of tools and methods. .
- Contents:
- Chapter 1. Introduction
- Chapter 2. Spiking Neural P Systems and Variants
- Chapter 3. Computational Completeness
- Chapter 4. Fuzzy Spiking Neural P Systems
- Chapter 5.Time Series Forecasting
- Chapter 6. Image Processing
- Chapter 7. Sentiment Analysis
- Chapter 8. Fault Diagnosis.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9752-80-9
- OCLC:
- 1453238303
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.