[PDF] Top 20 Flux prediction using artificial neural network (ANN) for the upper part of glycolysis
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Flux prediction using artificial neural network (ANN) for the upper part of glycolysis
... Abstract The selection of optimal enzyme concentration in multienzyme cascade reactions for the highest product yield in practice is very expensive and time-consuming ...process. The ... Voir le document complet
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Thermal field prediction in DED manufacturing process using Artificial Neural Network
... applications of ML/ANN should be highlighted. For a multi-layer model whose simulation requires too much time to be executed, training an ANN model with few AM layers data would make it able to predict ... Voir le document complet
10
Ultrasound assisted extraction of phenolic compounds from P. lentiscus L. leaves: Comparative study of artificial neural network (ANN) versus degree of experiment for prediction ability of phenolic compounds recovery
... quantification of TPC 2.2.1. Ultrasound assisted extraction The extraction of phenolic compounds originating from ...means of ultrasound was performed according to the CCD matrix ... Voir le document complet
12
Modelling, prediction and analysis of surface roughness in turning process with carbide tool when cutting steel C38 using artificial neural network
... describing the quality of machined surface. This research aims to analyse the effect of cutting parameters [cutting speed (v), feed rate (f) and depth of cut (d)] on the surface ... Voir le document complet
18
Prediction of pressure-discharge curves of trapezoidal labyrinth channels from nonlinear regression and artificial neural networks
... Assembly of Emitter Prototypes The prototypes were built using a computer-numerical-control (CNC) milling machine with ...diameter. The labyrinth channels were carved on 2-mm-thick polymethyl ... Voir le document complet
11
Predicting VoLTE Quality using Random Neural Network
... rate the quality on a scale of 1 (poor) to 5 (excel- lent) ...suitable for a large network infras- ...eliminate the limitations of subjective ...ones. The intrusive ... Voir le document complet
6
Artificial neural network surrogate development of equivalence models for nuclear data uncertainty propagation in scenario studies
... simulate the whole fuel cycle over a period of time, from extraction of natural resources to geological ...Through the comparison of different reactor fleet evolutions and fuel ... Voir le document complet
16
Modeling ice growth on Canadian lakes using artificial neural networks.
... Eftbct of the statistical characteristics of input variables on the best perfbrming solution: (a) mean daily rainfall during the ice growth period and (b) usage of rainfàll as[r] ... Voir le document complet
15
Bootstrapped artificial neural networks for the seismic analysis of structural systems
... at the behavior of structural systems under the occurrence of seismic events with the aim of identifying the fragility ...curves. Artificial Neural ... Voir le document complet
37
Use of artificial neural networks for helicopter load monitoring
... Institute for Aerospace Research, National Research Council Canada, 1200 Montreal Rd, Ottawa, Ontario, Canada K1A 0R6 Abstract The operational loads experienced by rotary-wing aircraft are more complex than ... Voir le document complet
13
A Genetic Neural Network Approach for Unusual Behavior Prediction in Smart Home
... Structure of the RO-NN The architecture of the neural network typically consists of an input, a hidden layer and an output ...linked using a weighted ... Voir le document complet
12
Design of a thermoacoustic sensor for low intensity ultrasound measurements based on an artificial neural network
... evaluate the improvement in measurement accuracy of the new two-layer sensor design, the SonaCell ultrasound generator is calibrated by the radiation force balance (UPM-DT-1AV, Ohmic ... Voir le document complet
22
Local-scale valley wind retrieval using an artificial neural network applied to routine weather observations
... predictions, the representation of these local phenomena depends on the representation of the topography which is itself related to the horizontal grid resolution and the ... Voir le document complet
22
Artificial neural network for PWM rectifier direct power control and DC voltage control
... proposed for reducing the harmonic content of a three-phase PWM rectifier connected to the networks with a unit power factor and also providing decoupled control of the active ... Voir le document complet
3
Structured prediction and generative modeling using neural networks
... on the quantization granularity, music can be sim- plified in memory for algorithmic ...at the 16th note boundary would mean 16th notes get one entry in an array, 8th notes get two, quarter notes get ... Voir le document complet
107
Analysis and forecast of the capesize bulk carriers shipping market using Artificial Neural Networks
... In this study it is attempted to uncover the benefits of using Artificial Neural Networks (ANNs) in forecasting the Capesize Ore Voyage Rates from Tubarao to Rotterd[r] ... Voir le document complet
198
The applicability of neural network systems for the structural damage diagnosis
... Finally, the optimum diagnosis systems, mode shape or response spectrum approach, are tested with the testing data set that consists of 50 multiple-point damage cases, each of[r] ... Voir le document complet
290
A Neural Network for Semigroups
... semigroups, the existing classi- fication tables [1] are very counter-intuitive to any mathematician fa- miliar with finite ...set of seven elements). While certain results of classification exist, ... Voir le document complet
13
Modeling the Effects of Cu content and deformation variables on the high-temperature flow behavior of dilute Al-Fe-Si alloys using an artificial neural network
... 2 of 13 impact of copper content on hot workability is assessed with the long-term view of optimizing 1xxx alloy design for both strength and hot ...processability. The flow ... Voir le document complet
13
On the use of artificial neural networks as quality control tool
... Determination of M r in the laboratory is elaborate and requires capital investment and special ...have the required testing capabilities to determine the resilient behaviour of their ... Voir le document complet
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