ANN-PSO.
Improving Fault Prediction using ANN PSO in Object Oriented Systems
... for ANN-BP, ANN-GA and ...run. ANN-BP model was constructed in Matlab using the Neural Network ...the ANN architecture we chose 20 input neurons, one hidden layer with 25 neurons and one ...
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Estimating SPT N value based on soil resistivity using hybrid ANN PSO algorithm
... and PSO were found to be particularly useful for solving regression ...an ANN trained by PSO, the ANN was able to estimate N value using resistivity value with acceptable ...The ...
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Simulation of groundwater quality parameters using ANN and ANN+PSO models (Case study: Ramhormoz Plain)
... of ANN+PSO model has the greatest correlation with the measured values, which is because of the ...the ANN, the backward error propagation method has been used for the training phase, which usually ...
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Simultaneous Optimization of Joint Edge Geometry and Process Parameters in Gas Metal Arc Welding Using Integrated ANN - PSO Approach
... a PSO algorithm to determine optimal process parameters for minimization of ...An ANN-PSO algorithm for simulation and optimization of WBG of 316L nickel based super alloys in ux cored arc welding ...
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Comparative study between ANN and master curve technique for the thin layer drying kinetic study of paddy and modeling of its critical drying temperature by using ANN-PSO approach
... the ANN modeling was 2-55-1, which showed the best performance than the other modeling ...of ANN-PSO approach was applied to develop a relationship between dependent variables ...
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Electrochemical oxidation of sulfamethoxazole using Ti/SnO2–Sb/Co–PbO2 electrode through ANN-PSO
... Establishment of ANN model. The 125 data sets used in this experiment were divided into two groups. One group consists of 110 data sets, which are used for the training of the network and are called training ...
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Machining Performance Analysis in End Milling: Predicting Using ANN and a Comparative Optimisation Study of ANN/BB BC and ANN/PSO
... the ANN architectures is used as stoppage ...the ANN architectures is to generate equations for determining surface roughness and tool ...the ANN models is back propagation, while sigmoid function is ...
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A Brief Review on Optimization of Injection Molded Parts by Using CAE and Artificial Intelligence: ANN PSO Approach
... the ANN, training data is used and the learning process is completed when Mean-Square Errors between existing data and predicted data on training are less than a fixed ...The PSO is directly used for ...
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Power Allocation in MIMO OFDM system using ANN PSO
... for. PSO optimizes the power by the channel noise and channel distance, it is produced the output in the form of ...the PSO with its respective noise ...
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Performance Analysis of Combine Harvester using Hybrid Model of Artificial Neural Networks Particle Swarm Optimization
... Abstract—Novel applications of artificial intelligence for tuning the parameters of industrial machines for optimal performance are emerging at a fast pace. Tuning the combine harvesters and improving the machine ...
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Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand
... GA- PSO model optimizes the coefficients of factors of gross state domestic product (GSDP) , electricity consumption per capita, income growth rate and consumer price index (CPI) that affect the electricity ...
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Transformer incipient fault prediction using combined artificial neural network and various particle swarm optimisation techniques
... the ANN alone, ANN combined with PSO, IPSO and EPSO techniques were compared in terms of R value, percentage of correct fault prediction and convergence ...the ANN-EPSO technique yields the ...
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Optimization Of Rate Of Penetration With Real Time Measurements Using Machine Learning And Meta-Heuristic Algorithm
... The ANN-PSO algorithm showed promise in providing a better set of optimal drilling parameters at the same time achieving higher ...the PSO algorithm was also able to produce the optimal ROP to the ...
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Demographics, clinical disease characteristics, and quality of life in a large cohort of psoriasis patients with and without psoriatic arthritis
... of PsO and joint symptoms, and age at diagnosis of PsO, body regions (Supplementary material) affected by PsO, use of tobacco and alcohol, family history, factors affecting PsO and joint ...
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Route Optimization in logistics distribution based on Particle Swarm Optimization
... other PSO-based methods Marinakis (2015) also presented a new version of the particle swarm optimization (PSO) algorithm suitable for discrete optimization problems and applied it for the solution of ...
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Enhancement in Channel Equalization Using Particle Swarm Optimization Techniques
... The PSO variants are analyzed for linear and nonlinear channel ...all PSO variants in Table 3, the proposed MP-PSO-TVW3 performs much better than other variants with minimum ...variants ...
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Comparison of a d-GPS system and conventional guidance for spraying applications
... Operators Experienced AgGPS PSO Experienced AgGPS PSO Experienced AgGPS PSO Experienced Foam Marker Experienced Foam Marker Inexperienced AgGPS PSO – driver trials Guidance Method Total [r] ...
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Particle Swarm Optimization: Technique, System and Challenges
... of PSO is necessary to do to know how far its development, its advantages and disadvantages and how much use this method to settle a ...of PSO has made about what is PSO [1], [2], those describe ...
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AN OVERVIEW OF TECHNOLOGY EVOLUTION: INVESTIGATING THE FACTORS INFLUENCING NON BITCOINS USERS TO ADOPT BITCOINS AS ONLINE PAYMENT TRANSACTION METHOD
... The values of and that influence the efficiency of ATREL-PSO, express the upper bound and the lower bound of the diversity of species respectively. The higher values for represents the higher diversity among the ...
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APPLICATION OF GA, PSO AND PSO-BFGS FOR THE INVERSE ESTIMATION PROBLEM
... using PSO and Gaussian Kernel function ...using PSO for thin fins in narrow cavity based on temperature measurement ...of PSO has also been reported for radiation problem ...with PSO resulted ...
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