# Assign2.pdf - INTELLIGENT SYSTEMS INTELLIGENT DECISION AND...

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INTELLIGENT SYSTEMS / INTELLIGENT DECISION AND CONTROL Aline Peres 76004 Professor Susana Vieira December 5, 2016 ASSIGMENT 2 This work consists in the development of Neural Network to classify the same dataset that was studied in the assignment 1 using a Takagi-Sugeno Fuzzy Model. The aim is to compare the results of this classification problem using these two different methods. Remember that the problem chosen to be solved in this assignment is static and is a classification problem. THE DATASET The dataset that was chosen is the Iris dataset downloaded from [1]. This dataset consists in 50 samples from each of three species of Iris plants: Iris-setosa, Iris-virginica and Iris-versicolor. This is a classification dataset with the following attributes: Inputs X1: Sepal length X2: Sepal width X3: Petal length X4: Petal width Output Y: Class ( setosa, virginica or versicolor ) The Iris dataset is one of the most known dataset for pattern recognition. This dataset can be consulted in the .mat file “model”. THE MODEL To solve this classification problem, it was used the Mathworks’ Neural Network Toolbox. The referred toolbox contains, between others, some important functions as: patternnet :

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• Spring '16
• neural network

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