Comment on ‘Comment on: “Application of an adaptive neural fuzzy inference system to thermal comfort and group technology problems” [Comput. Math. Appl. 54 (2007) 1395–1402] by Tarkan Erdik and Zekal Sen’
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چکیده
منابع مشابه
Prediction of Thermal performance nanofluid Al2O3 by Artificial Neural Network and Adaptive Neuro-Fuzzy Inference Systemt
In recent years, the use of modeling methods that directly utilize empirical data is increasing due to the high accuracy in predicting the results of the process, rather than statistical methods. In this paper, the ability of Artificial Neural Network (ANN) and Adaptive Fuzzy-Neural Inference System (ANFIS) models in the prediction of the thermal performance of Al2O3 nanofluid that is measured ...
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In [1], the author studied the oscillation of forced neutral delay differential equations with positive and negative coefficients, having the following form: [x(t)− R(t)x(t − r)] + P(t)x(t − τ)− Q(t)x(t − σ) = f (t), (1) where R, P, Q ∈ C([t0,∞),R) with r > 0, τ ≥ σ ≥ 0. The readers are referred to [1] for further details. The author uses an ill representation which yields a mistake. To avoid t...
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چکیده ندارد.
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The rate of penetration (ROP) is one of the vital parameters which directly affects the drilling time and costs. There are various parameters that influence the drilling rate; they include weight on bit, rotational speed, mud weight, bit type, formation type, and bit hydraulic. Several approaches, including mathematical models and artificial intelligence have been proposed to predict the rate o...
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Ranking of a company's financial information is one of the most important tools for identifying strengths and weaknesses and identifying opportunities and threats outside the company. In this study, it is attempted to examine the financial statements of companies to rank and explain the transparency of financial information of 198 companies during 2009-2017 using artificial intelligence and neu...
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ژورنال
عنوان ژورنال: Computers & Mathematics with Applications
سال: 2008
ISSN: 0898-1221
DOI: 10.1016/j.camwa.2008.06.001