CMOS implementation of ANNs based on analog optimization of N-dimensional objective functions
A Medina-Santiago, CA Hernández-Gracidas… - Sensors, 2021 - mdpi.com
The design of neural network architectures is carried out using methods that optimize a
particular objective function, in which a point that minimizes the function is sought. In …
particular objective function, in which a point that minimizes the function is sought. In …
Design of EX-OR Gate with ANN Using Sigmoid and ReLU Functions for Artificial Intelligence Applications in Python
R Sardar, A Nandi, A Bhowmik, B Dutta… - … Conference on Data …, 2023 - Springer
Artificial neural network (ANN) is the simulated model of our brain. To design combinational
circuits, EX-OR gate is required. In various logical operations as well as for designing …
circuits, EX-OR gate is required. In various logical operations as well as for designing …
Artificial Neural Network Design for CMOS NAND Gate Using Sigmoid Function
R Sardar, A Nandi, A Pramanik, S Bhowmick… - Intelligent Systems and …, 2023 - Springer
Abstract Artificial Neural Network (ANN) is very useful to predict the future. These predictions
can be done in the area of agriculture, transport, finance, health care, etc. Complementary …
can be done in the area of agriculture, transport, finance, health care, etc. Complementary …
[PDF][PDF] Bearing Bush Temperature Prediction for Hydropower Unit Based on Multi-Scale Decomposition and SVR Method
Y Zhou, S Tang, L Pan, D Cao - researchgate.net
By analyzing the time series characteristic of bearing brush temperature of hydropower unit,
this paper designs a new prediction method combining the multiscale analysis and support …
this paper designs a new prediction method combining the multiscale analysis and support …