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About Exam 2001
The document is an examination for an Artificial Neural Networks course consisting of 20 multiple choice questions covering various topics: 1. Classical pattern recognition concepts such as feature extraction and minimum distance classifiers. 2. Biological properties of neurons such as summation of electrical potential and firing thresholds. 3. Characteristics of artificial neural networks including learning, generalization and parallel processing. 4. Learning rules like Hebbian learning and the Perceptron learning rule. The questions test understanding of foundational concepts in neural networks, pattern recognition, and biological neural computation.
Detailed Information
| Author: | ['kib6707'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 17 |
| Language: | English |
| Format: | |
| Price: | FREE |
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