IEEE

Double-Loop Fuzzy Neural Network-Based Fixed-Time Robust Control for Antagonistic PM-Actuated Wrist Robots With Motion Constraints

Abstract: Antagonistic pneumatic muscle (PM)-actuated wrist robots have great potential in rehabilitation and industrial applications. The antagonistic connection of PMs, which mimics the ...
Hosted on MSN

20 activation functions in Python for deep neural networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, Sigmoid, and more. #ActivationFunctions #DeepLearning #Python Russia says man ...
EurekAlert!

Photonic compute-in-wire: remotely driven photonic deep neural network with single nonlinear loop

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...
IEEE

Barrier Function-Based Neural Network Adaptive Integral Sliding Mode Control for Multiaxle Steering Vehicles’ Lateral Dynamics Control

Abstract: To achieve precise lateral dynamics control for electric and autonomous vehicles under system model uncertainties and unknown external disturbances, this article introduces a novel barrier ...
Ars Technica

Neural network finds an enzyme that can break down polyurethane

You’ll often hear plastic pollution referred to as a problem. But the reality is that it’s multiple problems. Depending on the properties we need, we form plastics out of different polymers, each of ...
GitHub

A python package that includes many methods for decoding neural activity

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
C&EN

Integrating ESM-2 and Graph Neural Networks with AlphaFold-2 Structures for Enhanced Protein Function Prediction

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Protein function prediction is essential for elucidating biological processes and ...
Computer Weekly

Professional services firms stuck in network security IT doom loop

A survey from Aryaka has revealed that not only are overstretched IT teams currently facing performance issues, growing security threats, and the complexity of too many suppliers and tools, their ...
Hosted on MSN

Neural Network python from scratch | MultiClass Classification with Softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
Scientific Research Publishing

Leshno, M., Lin, V.Y., Pinkus, A. and Schocken, S. (1993) Multilayer Feedforward Networks with a Nonpolynomial Activation Function Can Approximate Any Function. Neural Networks ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...