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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
Optimisation of the Topology of a Multi-Layer Perceptron

Optimisation of the Topology of a Multi-Layer Perceptron

Saturno Gonçalves, Gean

Paperback

General Mathematics

ISBN10: 6209448003
ISBN13: 9786209448003
Publisher: Our Knowledge Publishing
Published: Dec 28 2025
Pages: 76
Weight: 0.25
Height: 0.18 Width: 6.00 Depth: 9.00
Language: English
Artificial intelligence is becoming increasingly present in our society. To this end, several strategies have been created. Artificial Neural Networks was one of them and has several architectures and topologies. The Multiple Perceptron, for example, is a neural network that has a great capacity for generalisation, that is, when used for pattern classification, it is able to correctly classify samples that have never been presented to it, using only its experience with previous classifications. However, the generalisation capacity of the perceptron is proportional to the quality of its topology, i.e., good generalisation requires good topology. However, finding the ideal topology for a perceptron is not a simple task. This work analyses the metrics used to find the best topology for a given problem.

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