Neuro-fuzzy models and tobacco control
| Autor: | Jian Ying Zhang, Sonja Yrjo Olavi Petrovic-Lazarevic |
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| Rok vydání: | 2017 |
| Předmět: |
Measure (data warehouse)
Artificial neural network Neuro-fuzzy Computer science business.industry Tobacco control Fuzzy control system Fuzzy logic ComputingMethodologies_PATTERNRECOGNITION Fuzzy inference system Artificial intelligence ComputingMethodologies_GENERAL business Social regulation Uncategorized |
| Zdroj: | Lecture Notes in Electrical Engineering ISBN: 9780387848136 |
| DOI: | 10.4225/03/5934fd4bc1356 |
| Popis: | This paper presents neuro-fuzzy models applications appropriate for tobacco control: the fuzzy control model, Adaptive Network-Based Fuzzy Inference System, Evolving Fuzzy Neural Network models, and EVOlving POLicies. We propose further the use of Fuzzy Causal Networks to help tobacco control decision makers develop policies and measure their impact on social regulation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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