ESTIMATING THE ACTIVATION FUNCTIONS OF AN MLP-NETWORK |
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| P. V. Vehviläinen, H. A. T. Ihalainen |
- Abstract:
- The most common neural network type is a multilayer perceptron (MLP) network. Even a relatively simple MLP-network requires usually high computational accuracy and efficiency. The usual types of activation functions are not necessarily applicable for a neural network algorithm used in microcontrollers. For this purpose a new type of activation function is introduced.
- Keywords:
- neural network, activation function, estimation, multilayer perceptron
- Download:
- IMEKO-WC-2000-AI-P595.pdf
- DOI:
- -
- Event details
- Event name:
- XVI IMEKO World Congress
- Title:
Measurement - Supports Science - Improves Technology - Protects Environment ... and Provides Employment - Now and in the Future
- Place:
- Vienna, AUSTRIA
- Time:
- 25 September 2000 - 28 September 2000