This completed downloadable of Artificial Intelligence in the Age of Neural Networks and Brain Computing 1st Edition Robert Kozma Cesare Alippi Yoonsuck Choe Francesco Morabito
Instant downloaded Artificial Intelligence in the Age of Neural Networks and Brain Computing 1st Edition Robert Kozma Cesare Alippi Yoonsuck Choe Francesco Morabito pdf docx epub after payment.
Product details:
- ISBN 10: 0323958168
- ISBN 13: 9780323958165
- Author: Robert Kozma, Cesare Alippi, Yoonsuck Choe, Francesco Morabito
Artificial Intelligence in the Age of Neural Networks and Brain Computing, Second Edition demonstrates that present disruptive implications and applications of AI is a development of the unique attributes of neural networks, mainly machine learning, distributed architectures, massive parallel processing, black-box inference, intrinsic nonlinearity, and smart autonomous search engines. The book covers the major basic ideas of “brain-like computing” behind AI, provides a framework to deep learning, and launches novel and intriguing paradigms as possible future alternatives.
Table of contents:
1: Introduction
2: Adaline and the LMS algorithm, from the 1950s
3: Unsupervised learning with Adaline, from the 1960s
4: Robert Lucky’s adaptive equalization, from the 1960s
5: Bootstrap learning with a sigmoidal neuron
6: Bootstrap learning with a more “biologically correct” sigmoidal neuron
7: Other clustering algorithms
8: A general Hebbian-LMS algorithm
9: The synapse
10: Postulates of synaptic plasticity
11: The postulates and the Hebbian-LMS algorithm
12: Nature’s Hebbian-LMS algorithm
13: Conclusion
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