Complex-Valued Neural Networks with Multi-Valued Neurons

• Κύριος συγγραφέας: Aizenberg, Igor (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
• Σειρά: Studies in Computational Intelligence, 353
• Θέματα: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts. This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications...

Πίνακας περιεχομένων:

• Why We Need Complex-Valued Neural Networks?
• The Multi-Valued Neuron
• MVN Learning
• Multilayer Feedforward Neural Network based on Multi-Valued Neurons (MLMVN)
• Multi-Valued Neuron with a Periodic Activation Function
• Applications of MVN and MLMVN.