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Pull request overview
This pull request converts a PNG diagram to LaTeX/TikZ format, creating a standalone TikZ document that visualizes the classification of neural network methods for solving control problems. The diagram is in Russian and uses TikZ to create three overlapping ellipses with different fill patterns, connected to various control scheme labels via arrows.
Key Changes:
- Added new standalone LaTeX/TikZ document with Russian language support
- Implemented diagram with three patterned ellipses representing traditional control systems and neural network method categories (Adaptation, Approximation, Optimization)
- Created five labeled arrows pointing to different control schemes (parallel, emulator-controller, self-tuning, adaptive-critical, and sequential)
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Надо добавить новую картинку, также сравнить её с предыдущей.
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Сравнение изображенийСтарая версия
Новая версия
Итоговая версия
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Replaces the raster PNG and Visio source for the neural network classification diagram with a TikZ implementation. This improves image quality and allows the diagram to be maintained directly within LaTeX. - Removed images/chapter_1/Классификация...png and .vsd - Added images/chapter_1/nn_methods_classification_for_solving_control_problems.tex - Updated chapter_1.tex to input the new TikZ file - Added the patterns library to tikz configurations in main.tex
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This pull request replaces the previously used PNG image with a fully vectorized LaTeX/TikZ diagram. The new diagram reproduces the original illustration of control system classification but now in a format that integrates seamlessly with the LaTeX document.