Convolutional ANN – Bücher zum Thema Convolutional ANN finden und kaufen

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola K. Kasabov
Springer Berlin
353.09 € · Hardcover

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces f...

Applied Cognitive Computing and Artificial Intelligence

Springer International Publishing
96.29 € · Paperback

Artificial Intelligence (AI) Cognitive Computing Machine Learning Knowledge Engineering Data Science Large Language Models (LLM) ANN Convolutional Neural Networks (CNN) Information Management Deep Learning Federated Learning, and Applications

This book constitutes the proceedings of the 27th International Conference on Artificial Intelligence, ICAI 2025, and the 9th International Conference on Applied Cognitive Computing, ACC 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Co...

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola K. Kasabov
Springer Berlin
353.09 € · Paperback

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces f...

Internet Computing, Internet of Things, Artificial Intelligence, and Applications

Springer International Publishing
90.94 € · eBook

Artificial Intelligence (AI) Cognitive Computing Machine Learning Knowledge Engineering Data Science Large Language Models (LLM) ANN Convolutional Neural Networks (CNN) Information Management Deep Learning Federated Learning Applications

This book constitutes the proceedings of the 26th International Conference on Internet Computing and IoT, ICOMP 2025, and the 27th International Conference on Artificial Intelligence, ICAI 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied ...

Applied Cognitive Computing and Artificial Intelligence

Springer International Publishing
96.29 € · eBook

Artificial Intelligence (AI) Cognitive Computing Machine Learning Knowledge Engineering Data Science Large Language Models (LLM) ANN Convolutional Neural Networks (CNN) Information Management Deep Learning Federated Learning, and Applications

This book constitutes the proceedings of the 27th International Conference on Artificial Intelligence, ICAI 2025, and the 9th International Conference on Applied Cognitive Computing, ACC 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Co...

Internet Computing, Internet of Things, Artificial Intelligence, and Applications

Springer International Publishing
90.94 € · Paperback

Artificial Intelligence (AI) Cognitive Computing Machine Learning Knowledge Engineering Data Science Large Language Models (LLM) ANN Convolutional Neural Networks (CNN) Information Management Deep Learning Federated Learning Applications

This book constitutes the proceedings of the 26th International Conference on Internet Computing and IoT, ICOMP 2025, and the 27th International Conference on Artificial Intelligence, ICAI 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied ...

Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Nikola K. Kasabov
Springer Berlin
352.03 € · eBook

Deep knowledge representation Integration of human intelligence and artificial intelligence Deep learning of Time-Space data Spike-time learning Evolving spatio-temporal processes Interactions in Time-Space Evolving connectionist systems (ECOS) Transductive inference methods Knowledge-based ANN Evolving Fuzzy Neural Networks Supervised learning in ANN Convolutional ANN Training multilayer perceptron Evolving self-organizing maps Takagi-Sugeno fuzzy inference

Spiking neural networks (SNN) are biologically inspired computational models that represent and process information internally as trains of spikes. This monograph book presents the classical theory and applications of SNN, including original author’s contribution to the area. The book introduces f...

Flood Forecasting Using Machine Learning Methods

MDPI
€ · Paperback

data scarce basins runoff series data forward prediction ensemble empirical mode decomposition (EEMD) stopping criteria method of tracking energy differences (MTED) deep learning convolutional neural networks superpixel urban water bodies high-resolution remote-sensing images monthly streamflow forecasting artificial neural network ensemble technique phase space reconstruction

This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water...

Ergebnisse für: Convolutional ANN

Hier findest Du Bücher, die sich mit Convolutional ANN beschäftigen.