Enhancement of neural networks with an alternative activation function tanhLU

Big Data and Machine Learning in Geoscience and Geoengineering: Introduction

(2020) Wengang Zhang et al.   Geoscience Frontiers

Application of LSTM approach for modelling stress–strain behaviour of soil

(2020) Ning Zhang et al.   APPLIED SOFT COMPUTING

ReLTanh: An activation function with vanishing gradient resistance for SAE-based DNNs and its application to rotating machinery fault diagnosis

(2019) Xin Wang et al.   NEUROCOMPUTING

A novel type of activation function in artificial neural networks: Trained activation function

(2018) Ömer Faruk Ertuğrul   NEURAL NETWORKS

Adaptive activation functions in convolutional neural networks

(2018) Sheng Qian et al.   NEUROCOMPUTING

Kafnets: Kernel-based non-parametric activation functions for neural networks

(2018) Simone Scardapane et al.   NEURAL NETWORKS

Linearized sigmoidal activation: A novel activation function with tractable non-linear characteristics to boost representation capability

(2018) Vivek Singh Bawa et al.   EXPERT SYSTEMS WITH APPLICATIONS

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Bounded activation functions for enhanced training stability of deep neural networks on visual pattern recognition problems

(2016) Shan Sung Liew et al.   NEUROCOMPUTING

Nonlinear spline adaptive filtering

(2012) Michele Scarpiniti et al.   SIGNAL PROCESSING