#inferencesystem — Public Fediverse posts on home.social

#VideoTitle "FuzzyLogic.jl: Productive Fuzzy Inference in Julia | Luca Ferranti | JuliaCon 2023"

#JuliaCon #JuliaCon2023 #LucaFerranti

#VideoLink is https://youtube.com/watch?v=6WfX3e-aOBc

#VideoDescription [Author’s Note: Tags are my own.]:
"""
This talk introduces [#FuzzyLogic].jl, a library for [#FuzzyInference], giving a tour of its features and design principles. Write your fuzzy model with an expressive [#Julia]-like [#DSL] or read your existing model from common formats, tune and explore with available algorithms and visualization tools, and generate efficient stand-alone Julia or [#CPlusPlus] code for your final model. Finally, the talk will show how to use the library to solve engineering problems in [#ControlTheory] and [#ImageProcessing].

Since their introduction in the 60s, fuzzy logic inference methods have been successfully applied in several engineering domain[s], such as power electronics, control theory and [#SignalProcessing].

[…]

User-friendliness: exploiting [m+#Metaprogramming], it allows to implement fuzzy inference systems using expressive and concise Julia syntax. It also offers tools to visualize the #InferenceSystem and different steps of the [#InferencePipeline].

[#Interoperability]: read fuzzy models from popular formats such as [#Matlab] .fis f[or]mat, no need to manually rewrite or translate old legacy codes.

Flexibility: Easily(ish) tune the inference pipeline with your own algorithms.

Efficiency: after prototyping and exploring, generate efficient stand-alone julia or c++ code for your model.

[…]
"""