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CATIA V5
AI-Driven CAD Macros: CATIA V5 Edition
Arclara
Arclara Press
Books › PDF / ePub

AI-Driven CAD Macros: CATIA V5 Edition

Practical machine learning techniques applied to CATIA V5 automation.

By Arclara280 pagesFormats: PDF, ePubPublisher: Arclara Press

About this book

Go beyond rule-based macros. This book introduces gradient-boosted decision trees, nearest-neighbour search, and simple neural networks — all implemented in Python — for tasks like feature classification, constraint inference, and geometry suggestion inside CATIA V5. No ML background required: each concept is introduced from scratch with engineering examples drawn from real aerospace and automotive projects.

What’s covered

ML fundamentals for engineersFeature geometry classificationConstraint inference modelsPattern recognition in assembliesTraining models on CAD data

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