= General regression neural network
{wiki=General_regression_neural_network}
A General Regression Neural Network (GRNN) is a type of artificial neural network that is specifically designed for regression tasks, providing a way to model and predict continuous outcomes. It is a type of kernel-based network that uses a form of radial basis function. \#\#\# Key Characteristics of GRNN: 1. **Structure**: GRNN is typically structured with four layers: - **Input Layer**: Receives the input features.
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