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A simple perceptron learning the or logic function 9.
| Content Provider | CiteSeerX |
|---|---|
| Author | Pantazi, Stefan Valerian |
| Abstract | Contents Introduction 4 1. The Basics of Feed-Forward ANNs 4 2. The Simple Perceptron Model 5 A Simple Perceptron Learning the OR Logic Function 9 A Simple Perceptron Learning the AND Logic Function 11 A Simple Perceptron Trying to Learn the XOR Logic Function 14 3. The Multi-layer Perceptron Model (MLP) 16 MLP Learning the XOR Logic Function 17 4. Algorithm for Transforming Nonlinearly Separable Classes in Linearly Separable Classes 19 Conclusions 20 References 20 2 List of Tables and Figures Table 4 The verification of the algorithm correctness for the perceptron which has learned the AND logic function Table 7 The classification process of the three vectors resulted from re-coding and performed in the output layer Table 8 The re-coding of the 4 input vectors by adding a third common component (x 3 ) to the vectors in similar classes Figure 4 The network state before learning the OR logic function Figure 5 The graphic representation of the network state before learni |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Logic Function Simple Perceptron Xor Logic Function Network State Graphic Representation Multi-layer Perceptron Model Algorithm Correctness Logic Function Figure Feed-forward Anns Simple Perceptron Trying Figure Table Nonlinearly Separable Class Third Common Component Similar Class Simple Perceptron Model Content Introduction Input Vector Logic Function Table Classification Process Simple Perceptron Learning Output Layer Table Linearly Separable |
| Content Type | Text |
