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Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

open access: hybridAdvanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park   +7 more
openalex   +2 more sources

Evaluation of Major Soil Nutrients After Application of Microbial-Inoculated Acidified Biochar Pellets Using a Sigmoid Function

open access: gold
JooHee Nam   +5 more
openalex   +1 more source
Some of the next articles are maybe not open access.

Sigmoid Function Model for a PWM DC–DC Converter

IEEE transactions on power electronics, 2023
Considering the presence of switching devices, a pulse-width modulation (PWM) dc–dc converter is a piecewise smooth switching system that causes difficulties in stability analysis and controller design. Hence, a new modeling method that employs a sigmoid
Yimin Lu, Shiwu Zhong
semanticscholar   +1 more source

A Modular Approximation Methodology for Efficient Fixed-Point Hardware Implementation of the Sigmoid Function

IEEE transactions on industrial electronics (1982. Print), 2022
The sigmoid function is a widely used nonlinear activation function in neural networks. In this article, we present a modular approximation methodology for efficient fixed-point hardware implementation of the sigmoid function.
Zhe Pan   +4 more
semanticscholar   +1 more source

Design and FPGA Implementation of the LUT based Sigmoid Function for DNN Applications

International Symposium on Smart Electronic Systems, 2022
Nowadays deep learning algorithms are became popular in the field of biomedical applications for automatic classification and detection problems. There are multiple issues in implementing these algorithms on digital platform.
Revathi Pogiri, S. Ari, K. Mahapatra
semanticscholar   +1 more source

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