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ECM3412 Nature-Inspired Computation

This class was created by Brainscape user Kate Belson. Visit their profile to learn more about the creator.

By: Kate Belson
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Decks in this class (10)

Week 1 - Basics
Which natural systems can benefit...,
Why should natural systems be use...,
What problems can be solved by us...
16  cards
Week 2 - Search Landscapes and Hillclimbing
Describe the hillclimbing algorithm,
What is the difference between lo...,
What does pbs stand for
13  cards
Week 3 - Genetic Programming
What is the algorithm outline for...,
How does mutation work in genetic...,
How does crossover work in geneti...
4  cards
Week 4 - Semantics and Ant Colony Optimisation
What are the semantics of a program,
What does semantic mutation mean,
What does semantic crossover mean
11  cards
Week 5 - Ant Colony Optimisation pt 2
What does the transition rule tel...,
What does the update rule tell you
2  cards
Week 7 - Flocking and Particle Swarm Optimisation
Name 7 flocking characteristics,
What do aggregation and segregati...,
What are reynolds rules for flocking
14  cards
Week 8 - Multi-Objective EAs and Neural Networks
What is domination criterion,
What is the pareto front,
Name two desirable characteristic...
23  cards
Week 9 - Neural Networks
What are the two types of learnin...,
What is supervised learning,
What is unsupervised learning
29  cards
Week 10 - Neural Networks, Artificial Life & Cellular Automata
How can neural networks be adapte...,
Describe the structure of a recur...,
What might backpropagation though...
28  cards
Week 11 - Artificial Immune Systems
What is an ais artificial immune ...,
Name some applications of ais,
What are the two lines of defence...
29  cards

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ECM3412 Nature-Inspired Computation

  • Class purpose General learning

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