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18 results with keyword: 'neuro fuzzy algorithm compute software effort estimation'

A Neuro Fuzzy Algorithm to Compute Software Effort Estimation

Figure 9 : Fuzzy Based Estimation Vs Actual Effort The following table summarizes the MMRE value of all the algorithmic and non-algorithmic models discussed above for all

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2021
Assessing Machine Translation Quality with Error Analysis

Unlike the machine translation systems, the human translations show hardly any cases where both participants of the relation are present but the relation is missing, or where

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2021
Hybrid Neuro-Fuzzy Systems for Software Development Effort Estimation

The Maxwell-62 dataset [8] uses the factors shown in Table III for software effort prediction. The dataset includes 62 records. This dataset is mainly used for 2 reasons. Firstly,

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2021
Adaptive Neuro Fuzzy Inference System for Software Development Effort Estimation

In the results which were analyzed using five different criterions Variance Accounted For (VAF), Mean Absolute Relative Error (MARE), Variance Absolute Relative Error(VARE),

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2020
HUVR: Data Analytics for Industry & Agriculture

The drone-based data analytics company, launched $2 million funding from angel investment organizations including Central Texas Angel Network (CTAN), Houston Angel Network (HAN)

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2021
Declare Someone And Outlaw

Iranian regime has outlawed crew and declare explicitly that outlaw motorcycle clubs like jen or someone goes out an.. Comment field that outlawed, for the

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2021
Improving Software Effort Estimation Using Neuro-Fuzzy Model with SEER-SEM

a) ANFIS is a popular neuro-fuzzy system with the advantages of neural network and fuzzy logic techniques, especially the ability of learning. The proposed

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2021
Short-Term Overreaction: Implications For Stock Market Efficiency In Malaysia

To test this conjecture, De Bondt and Thaler (1985) in their seminal study tested the empirical validity of the overreaction hypothesis using monthly returns of

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2021
AdequacyandUtilizationofInstructionalMaterialsforTeaching Electrical InstallationandMaintenance Work TradeinAdamawa StateTechnical CollegesBy

In the light of the forgoing, how adequate is the available instructional equipment and materials and its level of utilization are questions that raises concern to

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2022
Software Effort Estimation for Size Proxy Metric Framework Modelling using Software Estimation Models and Neuro Fuzzy Logic Approach

Shama Kousar Jabeen.A and Mrs.B.Arthi[14] have shown in there another work for size estimation with neuro fuzzy logic approach for Albrecht dataset alone..This

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2022
Software Effort Estimation: A Fuzzy Logic Approach

Estimation of effort, experience of programmer with the machine is important for develop software project.. If someone has sound knowledge on a particular machine then

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2020
Software Effort Estimation using Satin Bowerbird Algorithm

In the proposed work, we use Satin Bowerbird algorithm for finding the optimized solution of a and b for the COCOMO Model that effectively evaluate better result in comparison to

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2020
Software Effort Estimation using Meta Heuristic Algorithm

In this paper, the proposed model is BAT algorithm was used to find factor values to estimate the effort of every project, and then calculate best fitness value on overall

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2020
Minnesota s Leadership. Renewable Energy. December, 2004

(a) Unless otherwise specified in law, "eligible energy technology" means an energy technology that: (1) generates electricity from the following renewable energy

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2021
Fuzzy grey relational analysis for software effort estimation

Unsurprisingly, predictions based on FGRA model presented statistically significant accurate estimations, measured using absolute residuals, confirmed by the results of

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2019
The VYBE KYLE. Trail-Oriented Development

Areas throughout Kyle where additional trail space is available should also include natural walking trails as much as possible.. These trails may be made up of other surfaces such

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2021
Software Effort Estimation using Fuzzy Logic Membership Functions

S et al., utilize an adaptive fuzzy logic model to improve the accuracy of software time and cost estimation by using different member functions available in

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2020
Software Assessment Parameter Optimization using Genetic Algorithm

[5] presented a fuzzy logic based estimation model, their paper described an enhanced Fuzzy Logic model for the estimation of software development effort and proposed

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2020

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