NEURALNETWORK相关论文
Background and Aims: With high rates of recurrence post-treatment, hepatocellular carcinoma (HCC) is one of the most com......
赤潮作为海洋灾害,对海洋渔业、生态、经济,以及人类生产、生活造成了严重影响.一直以来,赤潮受到研究者的广泛关注,但由于它的形......
The performance of deep learning on many tasks has been impressive. However, recent studies have shown that deep learnin......
Despite their rich information content,electronic structure data amassed at high volumes in ab initio molecular dynamics......
An application of artificial intelligence for investigating the effect of COVID-19 lockdown on three
We present interesting application of artificial intelligence for investigating effect of the COVID-19 lock-down on 3-di......
El Ni?o-Southern Oscillation (ENSO) can be currently predicted reasonably well six months and longer, but large biases a......
Enriching the Transfer Learning with Pre-Trained Lexicon Embedding for Low-Resource Neural Machine T
Most State-Of-The-Art (SOTA) Neural Machine Translation (NMT) systems today achieve outstanding results based only on la......
Event temporal relation extraction is an important part of natural language processing.Many models are being used in thi......
Due to the characteristics of high efficiency,wide working range,and high flexibility,industrial robots are being increa......
The g-SGD algorithm significantly outperforms the conventional SGD algorithm in ReLU neural networks by adopting the bas......
Aerodynamic Effects Compensation on Multi-Rotor UAVs Based on a Neural Network Control Allocation Ap
This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation ......
A neural network-based commutation optimization strategy and drive system design for brushless DC mo
An optimized commutation method based on backpropagation (BP) neural network is proposed to resolve the low stability an......
The research on named entity recognition for label-few domain is becoming increasingly impor-tant.In this paper,a novel ......
Gold has multiple attributes and its price is affected by various factors in the market.This paper studies the dynamic r......
Tackling binary program analysis problems has traditionally implied manually defining rules and heuristics,a tedious and......
By introducing a discrete memristor and periodic sinusoidal functions,a two-dimensional map with coexisting chaos and hy......
Turbulent transport resulting from drift waves,typically,the ion temperature gradient(ITG)mode and trapped electron mode......
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The neutral network forecasting model based on the phase space reconstruction was proposed. First, through reconstructin......
As the traditional non-linear systems generally based on gradient descent optimization method have some shortage in the ......
Research on prediction for coal and gas outburst based on Matlab neural network toolbox and its appl
In order to predict the danger of coal and gas outburst in mine coal layer correctly,on the basis of the VLBP and LMBP a......
Studied forecasting and controlling the blasting fragmentation by using artificial neural network for multi-ingredients.......
Study on the non-linear forecast method for water inrush from coal seam floor based on wavelet neura
Directing at the non-linear dynamic characteristics of water inrush from coal seam floor and by the analysis of the shor......
Application of neural network model coupling with the partial least-squares method for forecasting w
Scientific forecasting water yield of mine is of great significance to the safety production of mine and the colligated ......
Mathematical morphology is widely applicated in digital image procesing. Vari-ary morphology construction and algorithm ......
Introduced the theory of three types of hazardous sources, and it recognized and analysed such three types of hazardous ......
Proposed a new method to disclose the complicated non-linearity structure of the water-resource system, introducing chao......
According to hazard theory and the principle of selecting assessment index,combining the causes and mechanism of gas exp......
APPLICATION OF INTEGRATED INTELLIGENT METHODOLOGY TO PREDICT STABILITY AND SUPPORTING DECISION IN UN
The present study shows that naturally the enormous engineering structure interaction with medium material, geometry or ......
By using image recognition technology, the underground bin level can be detdcted. The bin image is noised by vibration, ......
It is well known that artificial neural network which has marvelous ability to gain knowledge has been widely used in va......
Online fault recognition of electric power cable in coal mine based on the minimun risk neural netwo
Firstly, the concepts of the traveling wave entropy and the feature function oftraveling wave entropy were defined. Then......
A kind of feed forward neural network with three layers was applied to detect conveyor belt fire faster. And backward pr......
Analysis on evaluation ability of nonlinear safety assessment model of coal mines based on artificia
Based on the integration analysis of goods and shortcomings of various methods used in safety assessment of coal mines, ......
We propose a novel progressive framework to optimize deep neural networks.The idea is to try to combine the stability of......
This study proposes a hybrid model of speech recognition parallel algorithm based on hidden Markov model (HMM) and artif......
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For a long time,how to better estimate the unique Origin-Destination matrices with limited traffic data has puzzled traf......
ArcGIS-Based Management of Rock Tunnel Hydrogeological Data and Arterial Link Travel Time Estimation
Link travel time is an important evaluation index of urban arterial traffic conditions.Link travel times are traditional......
BP Neural Network PID Algorithm Toraue Distribution Control Strategy for Electric Vehicle with in-Wh
The BP neural network PID algorithm torque distribution control strategy for electric vehicle with in-wheel motor is pro......
Prediction And Study on the Influence of Propeller Shaft to Vehicle Noise Based on BP Neural Network
Propeller shaft is one of main sources to arouse vehicle noise.To decrease development cost and shorten development cycl......
Based on analysis of action current curves change law when the speed-up turnout is normal and fault, this paper summariz......
Reliable discharge data from rivers forms a vital source of information in hydrological practices.To obviate the need of......
Estimation of the Local Scour Depth Around Real Scaled Bridge Piers Using Neural Networks and Adapti
Local scouring around hydraulic structures such as bridge piers is the consequence of the erosive process of stream flow......
The estimation of groundwater recharge is of critical importance to the management of groundwater resources.One of the m......
红外焦平面阵列探测器成本低廉,体积小,无需制冷,具有广泛的应用前景.然而红外焦平面的非均匀性问题一直是制约其应用的根本问题,......
Soft-sensing has been widely used in the case where the key variables are difficult to measure or can be measured but wi......
Neural network is used to identify reactivity. The identification result can be compared with those ofother methods to r......
Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship
The neural components in deep learning framework are crucial for the performance of many natural language processing tas......
