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| ########################### | ||
| # Artificial Intelligence # | ||
| ### 2020/2021 ### | ||
| ## V. Piuri - UniMi ## | ||
| ########################### | ||
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| ## DISCLAIMER: ## | ||
| Questi appunti NON sono stati approvati dal prof. Piuri. | ||
| Potrebbero contenere errori e refusi. | ||
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| ## Indice: ## | ||
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| 1. Introduzione all'Intelligenza Artificiale | ||
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| 2. Reti Neurali: | ||
| - Fondamenti biologici | ||
| - Treshold logic unit | ||
| - Artificial neural network | ||
| - Multi-layer perceptrons | ||
| - Backpropagation | ||
| - Regressione | ||
| - Deep learning | ||
| - Radial basis function network | ||
| - Self-organizing maps | ||
| - Hopfield network | ||
| - Boltzmann machine | ||
| - Recurrent network | ||
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| 3. Fuzzy System: | ||
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| - Fuzzy logic | ||
| - Insiemi fuzzy | ||
| - Fuzzy control | ||
| - Fuzzy data analysis | ||
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| 4. Algoritmi evolutivi: | ||
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| - Introduzione e motivazioni | ||
| - Definizione formale | ||
| - Metaeuristiche | ||
| - Elementi di algoritmi evolutivi | ||
| - Fondamenti di algoritmi evolutivi | ||
| - Programmazione genetica | ||
| - Multi-criteria optimization | ||
| - Particle/Ant swarm optimization | ||
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