Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications
by Igor Aizenberg, Naum N. Aizenberg, Joos P.L. Vandewalle
This specialized volume examines multi-valued and universal binary neurons through three central themes: theory, learning, and applications. It is intended for readers exploring neural computation, mathematical models, and advanced computer science topics, with a technical focus suitable for study or reference.
About This Book
Multi-Valued and Universal Binary Neurons: Theory, Learning and Applications presents a focused examination of two types of neuron models identified in its title.
The book addresses theoretical foundations, learning, and applications within the broader field of neural computation.
It is suited to readers seeking a specialized reference on mathematical and computational approaches to neuron design and learning.
Written by Igor Aizenberg, Naum N. Aizenberg, and Joos P.L. Vandewalle, this volume offers a technical perspective on an advanced topic in computer science.
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