Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Artificial neural networks applied to learning models

Artificial neural networks applied to learning models

Oliveira, Jéssica

Paperback

General Computers

ISBN10: 6209457126
ISBN13: 9786209457128
Publisher: Our Knowledge Publishing
Published: Jan 13 2026
Pages: 76
Weight: 0.25
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
This book will shed light on the history of Artificial Neural Networks, which is still a new but well-known technology, commonly referred to as Connectionism or simply ANNs. It will explain their trajectory over time, focusing on two learning models: Reinforcement Learning and Competitive Learning. Although it is a well-known branch of technology, it is little explored, yet it already has a long history of effectiveness and many works on the subject, both practical and scientific research by university students, masters, doctors, and writers. However, this work differs from others in its simple and practical absorption of content, being useful both for those who are already experts on the subject and for those who are just starting out in the field and need something of quality to inform themselves. RNA are a form of non-algorithmic computing, which, at some level, resemble the structure of the human brain, as they are distributed parallel systems that calculate certain mathematical functions. The Turing Test, known as the father of this technology, is a great example of this.

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