SOFTWARE IMPLEMENTATION OF THE ARTIFICIAL NEURAL NETWORK FOR VIRTUAL OBJECTS СONTROL
Системный анализ и прикладная информатика, 2018 Artificial neural networks (ANN) are now widely used in control and forecasting problems. The purpose of this work is the implementation of an artificial neural network for virtual objects control in a computer game of football.
Yu. B. Popova, S. V. Yatsynovich
doaj +1 more source
Neural networks for impact parameter determination [PDF]
, 2006 Accurate impact parameter determination in a heavy-ion collision is crucial for almost all further analysis. We investigate the capabilities of an artificial neural network in that respect.
Bass, Steffen A. +6 more
core
Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage
Brain SciencesBackground: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing ...
Yongqiang Zhang +5 more
doaj +1 more source
A Wavelet Neural Network for SAR Image Segmentation
Sensors, 2009 This paper proposes a wavelet neural network (WNN) for SAR image segmentation by combining the wavelet transform and an artificial neural network. The WNN combines the multiscale analysis ability of the wavelet transform and the classification capability
Fa-Yu Wang, Xian-Bin Wen, Hua Zhang
doaj +1 more source
Ablation of a Robot's Brain: Neural Networks Under a Knife [PDF]
arXiv, 2018 It is still not fully understood exactly how neural networks are able to solve the complex tasks that have recently pushed AI research forward. We present a novel method for determining how information is structured inside a neural network. Using ablation (a neuroscience technique for cutting away parts of a brain to determine their function), we ...
arxiv
Insurability Challenges Under Uncertainty: An Attempt to Use the Artificial Neural Network for the Prediction of Losses from Natural Disasters [PDF]
The main difficulty for natural disaster insurance derives from the uncertainty of an event’s damages. Insurers cannot precisely appreciate the weight of natural hazards because of risk dependences.
Nouri Chtourou, Rim Jemli, Rochdi Feki
core
A New Artificial Neural Network Approach in Solving Inverse Kinematics of Robotic Arm (Denso VP6242)
Computational Intelligence and Neuroscience, 2016 This paper presents a novel inverse kinematics solution for robotic arm based on artificial neural network (ANN) architecture. The motion of robotic arm is controlled by the kinematics of ANN.
Ahmed R. J. Almusawi +2 more
semanticscholar +1 more source
Deep Convolutional Spiking Neural Networks for Image Classification [PDF]
arXiv, 2019 Spiking neural networks are biologically plausible counterparts of the artificial neural networks, artificial neural networks are usually trained with stochastic gradient descent and spiking neural networks are trained with spike timing dependant plasticity. Training deep convolutional neural networks is a memory and power intensive job.
arxiv
Energy Efficiency Prediction using Artificial Neural Network [PDF]
, 2019 Buildings energy consumption is growing gradually and put away around 40% of total energy use. Predicting heating and cooling loads of a building in the initial phase of the design to find out optimal solutions amongst different designs is very important,
Abu-Naser, Samy S. +4 more
core
Lung Cancer Detection Using Artificial Neural Network [PDF]
, 2019 In this paper, we developed an Artificial Neural Network (ANN) for detect the absence or presence of lung cancer in human body. Symptoms were used to diagnose the lung cancer, these symptoms such as Yellow fingers, Anxiety, Chronic Disease, Fatigue ...
Abu-Naser, Samy S., Nasser, Ibrahim M.
core +1 more source