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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Calculation of high-order harmonic generation of atoms and molecules by combining time series prediction and neural networks
时间序列预测 神经网络计算 原子分子 高阶谐波生成
2023/5/9
High-order harmonic generation (HHG) from the interaction of ultra-intense laser pulses with atoms is an important tabletop short-wave coherent light source. Accurate quantum simulations of it present...
Humans are pretty good at looking at a single two-dimensional image and understanding the full three-dimensional scene that it captures. Artificial intelligence agents are not.
Computer approaches human skill for first time in brain challenge（图）
computer approaches human skill first time brain challenge
2017/9/5
A WSU research team for the first time has developed a computer algorithm that is nearly as accurate as people are at mapping brain neural networks — a breakthrough that could speed up the image analy...
We present a generic tool, Kartograph, that lifts the fog of war in online real-time strategy games by snooping on the memory used by the game. Kartograph is passive and cannot be detected remotely. M...
Mispronunciation Detection via Dynamic Time Warping on Deep Belief Network-Based Posteriorgrams
mispronunciation detection dynamic time warping deep belief networks
2014/11/27
In this paper, we explore the use of deep belief network (DBN) posteriorgrams as input to our previously proposed comparison-based system for detecting word-level mispronunciation. The system works by...
Universal law for waiting internal time in seismicity and its implication to earthquake network
Universal law waiting internal time seismicity implication earthquake network
2012/2/24
In their paper (Europhys. Lett., 71 (2005) 1036), Carbone, Sorriso-Valvo, Harabaglia and Guerra showed that "unified scaling law" for conventional waiting times of earthquakes claimed by Bak et al. (P...
Abstract: A possibly immortal agent tries to maximise its summed discounted rewards over time, where discounting is used to avoid infinite utilities and encourage the agent to value current rewards mo...
An Intelligent Machine Condition Monitoring System Using Time-Based Analysis: Neuro-Fuzzy Versus Neural Network
Condition Monitoring Time Analysis Neuro-Fuzzy
2010/1/15
Monitoring and predicting machine components' faults play an important role in maintenance actions. Developing an
intelligent system is a good way to overcome the problems of maintenance management. ...
Real-Time Classification Algorithm for Recognition of Machine Operating Modes by Use of Self-Organizing Maps
Classification Self-Organizing Maps Real-Time Recognition
2009/7/28
In this paper a new algorithm for classification and real-time recognition of different a-priorily assumed operating modes for construction machines is proposed. This algorithm utilizes the effectiven...
Using Modified Adaptive Neural Fuzzy Real-time Workshop for Self-correction of the Option Pricing Model
modified neuro-adaptive fuzzy system self-correction of the option pricing model real-time workshop
2014/3/11
We propose a modified neuro-adaptive learning fuzzy system that can model, simulate, and analyze dynamic data. The system has two switches and three subsystems, which fits the need of advanced financi...
Discrete-time Phase and Delay Locked Loops Analyses in Tracking Mode
Carrier synchronization Coherent demodulation Software defined receiver
2010/2/2
Phase locked loops (PLL) and delay locked loops
(DLL) play an important role in establishing coherent references
(phase of carrier and symbol timing) in digital communication
systems. Fully digital...
A Neural Network Based Real Time Controller for Turning Process
Real Time Control Neural Network Turining
2010/1/14
In this paper, the design and implementation of an effective neural network model for turning process identification as well as
a neural network controller to track a desired vibration level of the t...
ON THE STABILITY OF THE CELLULAR NEURAL NETWORKS WITH TIME LAGS
cellular neural network time delays “exact” Liapunov-Krasovskii functional
2010/1/12
Cellular neural networks (CNNs) are recurrent artificial neural networks. Due to their cyclic connections and to the neurons’ nonlinear activation functions, recurrent neural networks are nonlinear dy...