A new activation function called Polynomial Linear Unit (PolyLU) is proposed in this paper to improve some of the shortcomings of the existing activation functions. The PolyLU meets the following ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

Activation functions play a critical role in AI ... [0,1] and [-1,1], respectively,” said Parikh. “However, it was the simple rectified linear unit (ReLU) that ushered in the current ... that simplify ...

Linear Neural Network Action Function. Linear Function; An activation function where the output is equal to the input is called a linear activation function. This function is also called “no ...

The Mish activation function was expending as the Mish_PLUS activation function, the Sigmoid activation function, and the Tanh were combined to obtain a new Sigmoid_Tanh activation function. We used ...

ReLU function: Rectified Linear Unit, also called ReLU, is a widely favoured activation function for deep learning applications. Compared to Sigmoid and TanH activation functions, ReLU offers an upper ...