🧠 Intelligent Decision Support Systems (Matlab Projects)

This repository contains selected projects developed as part of the course Intelligent Systems for Decision Support at the University of Ljubljana (Master's level).

Each project tackles a real-world challenge using AI techniques such as optimization, neural networks, PCA, genetic algorithms, PSO and modeling.

📁 Contents

📍 Project 1 – Localization using Nonlinear Least Squares

Locate a lost mobile phone using signals from base stations. Implemented nonlinear least squares optimization in Matlab.

📍 Project 2 – Genetic Algorithm for Equation Solving

Custom GA to evolve mathematical expressions targeting a given numeric result. Uses roulette-wheel selection and symbolic encoding.

📍 Project 3 – PCA, LSE & PCR Modeling

Used PCA and regression techniques to model chemical processes and study multicollinearity, standardization impact and parameter variances.

📍 Project 4 – Neural Network Classification with PSO

Breast cancer classification using a feedforward neural network optimized via Particle Swarm Optimization. Compared results with Matlab's built-in training.

📍 Project 5 – Modeling Helio-Crane System

Built two nonlinear models (neural network & fuzzy) to simulate the Helio-Crane mechanical system and compared performance.

📍 Project 6 – Predictive Functional Control

Implemented a predictive functional regulator using state-space transformations from a fuzzy model of the Helio-Crane system.

💻 Technologies Used

• Matlab (custom implementations)
• No toolboxes (all code from scratch)
• Optimization, modeling, control systems