Results 61 to 70 of about 127,617 (265)
In this study, a neural network–based direct inverse control (DIC) approach was developed and simulated to control various maneuvers of an unmanned aerial vehicle (UAV) quadcopter.
M Ary Heryanto, Benyamin Kusumoputro
doaj +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World
The Internet today has become a primary need for its users. According to market research company e-Marketer, there are 25 countries with the largest internet users in the world.
Sunil Setti, Anjar Wanto
doaj +1 more source
Traffic Image Analysis Based on Stacked Denoising Autoencoder Neural Network
This study aims to explore major neural network models - Stacked Denoising Autoencoder (SDAE), Deep Belief Network (DBN), Backpropagation - that have recently garnered attention and propose the most suitable and reliable artificial neural network model ...
Daehyon Kim
doaj +1 more source
Dialogue has long been used in human society to explain seemingly opaque concepts. In this paper we focus on how to better explain training models for neural networks, to entertain as well as inform. We present a multi-agent argumentation-based dialogue system to generate human understandable dialogue to explain backpropagation. The system incorporates
James, Isaac +2 more
openaire +1 more source
Using human induced pluripotent stem cells (hiPSCs)‐derived neuronal model, Tian and colleagues reveal that voltage‐gated calcium channels Cav1.2 and Cav1.3, and their mediated calcium ion influx, are essential for early morphogenesis of human neuronal development, while ECEL1 underlies human neuronal functional developmental maturation through CALM3 ...
Yue Tian +5 more
wiley +1 more source
FMX (EEPIS FACIAL EXPRESSION MECHANISM EXPERIMENT): PENGENALAN EKSPRESI WAJAH MENGGUNAKAN NEURAL NETWORK BACKPROPAGATION [PDF]
In the near future, it is expected that the robot can interact with humans. Communication itself has many varieties. Not only from word to word, but body language also be the medium. One of them is using facial expressions.
Dwijotomo, Abdurahman +1 more
core
Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing
This work presents a new algorithm called evolutionary exploration of augmenting convolutional topologies (EXACT), which is capable of evolving the structure of convolutional neural networks (CNNs).
Krizhevsky A., Krizhevsky A.
core +1 more source
Recent Advances in Decoupling Strategies for Soft Sensors
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan +4 more
wiley +1 more source
This study presents a combined model based on the exploratory factor analysis (EFA) and the least square support vector machine (LSSVM) to predict the contamination degree of insulator surface. Firstly, EFA method is utilised to reduce numerous influence
Jiaxiang Sun +5 more
doaj +1 more source

