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نویسنده: 

TABATBABAI MASUMEH | JAVID DARUSH | MOAZAMI GOODARZI MUHAMMAD REZA

اطلاعات دوره: 
  • سال: 

    2015
  • دوره: 

    2
تعامل: 
  • بازدید: 

    345
  • دانلود: 

    0
چکیده: 

THE PURPOSE OF THIS STUDY WAS TO PREDICT THE BANKRUPTCY OF COMPANIES LISTED IN TEHRAN STOCK EXCHANGE IS USING RADIAL BASIS FUNCTION NEURAL NETWORK (RBF). THIS STUDY IS A QUASI-EXPERIMENTAL BECAUSE LOOKING CAUSAL FACTORS ON THE FACTS AND CIRCUMSTANCES OF RESEARCH. STATISTICAL POPULATION BANKRUPT COMPANIES COVERED BY ARTICLE 141 OF THE COMMERCIAL CODE, 2012 AND 2013 YEARS AND 99 HEALTHY COMPANIES ON THE BASIS OF PROFITABILITY FOR THE TWO YEARS. HEALTHY COMPANIES WERE SELECTED THROUGH RANDOM SAMPLING. 5 INDEPENDENT VARIABLES INVESTIGATED INCLUDE WORKING CAPITAL TO TOTAL ASSETS, THE CUMULATIVE GAIN OR LOSS TO TOTAL ASSETS, EARNINGS BEFORE INTEREST AND TAXES EBIT TO TOTAL ASSETS, BOOK VALUE OF EQUITY TO BOOK VALUE OF TOTAL DEBT TO TOTAL ASSETS, WHOLE SALE AND THE DEPENDENT VARIABLE IS A BINARY VARIABLE EQUAL TO ZERO FOR NORMAL AND HEALTHY TO HAVE ONE. AFTER STATISTICAL SOFTWARE WEKA WITH RADIAL BASIS FUNCTION NEURAL NETWORK TO PREDICT THE RATE OF 91 TO 95.34% AND 90.69% IS EQUAL TO 92 YEARS.

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نویسندگان: 

TRIPATHY M.

اطلاعات دوره: 
  • سال: 

    2010
  • دوره: 

    18
  • شماره: 

    5
  • صفحات: 

    600-611
تعامل: 
  • استنادات: 

    1
  • بازدید: 

    167
  • دانلود: 

    0
کلیدواژه: 
چکیده: 

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بازدید 167

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نویسندگان: 

درویش عباس | شامخی سینا

اطلاعات دوره: 
  • سال: 

    1401
  • دوره: 

    52
  • شماره: 

    2
  • صفحات: 

    137-146
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    135
  • دانلود: 

    21
چکیده: 

Identification of THE exact location of an exon in a DNA sequence is an important research area of bioinformatics. THE main issues of THE previous signal processing techniques are accuracy AND robustness for THE exact locating of exons. To address THE mentioned issues, in this study, a method has been proposed based on deep learning. THE proposed method includes a new preprocessing, a new mapping method, AND a multi-scale modified AND hybrid deep NEURAL NETWORK. THE proposed preprocessing method enriches THE NETWORK to accept AND enCODE genes at any length in a new mapping method. THE proposed multi-scale deep NEURAL NETWORK uses a combination of an embedding layer, a modified CNN, AND an LSTM NETWORK. In this study, HMR195, BG570, AND F56F11.4 datasets have been used to compare this work with previous studies. THE accuracies of THE proposed method have been 0.982, 0.966, AND 0.965 on HMR195, BG570, AND F56F11.4 databases, respectively. THE results reveal THE superiority AND effectiveness of THE proposed hybrid multi-scale CNN-LSTM NETWORK.

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نویسندگان: 

SHAHSAVAND A.

نشریه: 

Scientia Iranica

اطلاعات دوره: 
  • سال: 

    2009
  • دوره: 

    16
  • شماره: 

    1 (TRANSACTIONS C: CHEMISTRY CHEMICAL ENGINEERING)
  • صفحات: 

    41-53
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    492
  • دانلود: 

    0
چکیده: 

Data acquisition of chemical engineering processes is expensive AND THE collected data are always contaminated with inevitable measurement errors. Efficient algorithms are required to filter out THE noise AND capture THE true underlying trend hidden in THE training data sets.egularization NETWORKs, which are THE exact solution of multivariate linear regularization problem, provide appropriate facility to perform such a demANDing task. THEse NETWORKs can be represented as a single hidden layer NEURAL NETWORK with one neuron for each distinct exemplar. Efficient training of Regularization NETWORK requires calculation of linear synaptic weights, selection of isotropic spread (s) AND computation of optimum level of regularization (l*). THE latter parameters (s AND l*) are highly correlated with each oTHEr. A novel method is presented in this ARTICLE for development of a convenient procedure for de-correlating THE above parameters AND selecting THE optimal values of l* AND. s* THE plot of l* versus s suggests a threshold s* that can be regarded as THE optimal isotropic spread for which THE Regularization NETWORK provides appropriate model for THE training data set. It is also shown that THE effective degrees of freedom of a Regularization NETWORK are a FUNCTION of both regularization level AND isotropic spread. A readily calculable measure of THE approximate degrees of freedom of a Regularization NETWORK is also introduced which may be used to de-couple l* AND s.

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اطلاعات دوره: 
  • سال: 

    1403
  • دوره: 

    24
  • شماره: 

    11
  • صفحات: 

    103-107
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    12
  • دانلود: 

    0
چکیده: 

1عیوب یاتاقان های غلتشی یکی از دلایل اصلی خرابی ماشین آلات دوار است. شناسایی عیوب یاتاقان غلتشی نقش اساسی در اطمینان عملکرد واحدهای تولیدی داشته است. علاوه بر این، پایش وضعیت ماشین آلات با استفاده از آنالیز ارتعاشات یکی از قدرتمندترین ابزارها در سلامت سنجی سامانه های مکانیکی است. این تحقیق یک سیستم هوشمند تشخیص عیوب یاتاقان های غلتشی مبتنی بر آنالیز ارتعاشات پیشنهاد می کند. در سیستم هوشمند عیب یابی از ویژگی های استخراج شده سیگنال های ارتعاشی در حوزه زمان و شبکه عصبی تابع پایه شعاعی استفاده شده است. مجموعه داده های آموزش و آزمون به سیستم هوشمند شبکه عصبی تابع پایه شعاعی ارائه می شود. نتایج یادگیری شبکه عصبی، عملکرد بسیار موفق سیستم هوشمند عیب یابی در تشخیص حالت های سلامت و عیوب سه گانه یاتاقان غلتشی را نشان می دهد

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اطلاعات دوره: 
  • سال: 

    1401
  • دوره: 

    7
  • شماره: 

    2
  • صفحات: 

    1-22
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    164
  • دانلود: 

    15
چکیده: 

Purpose: Clustering AND co-word analysis is a method to reveal relationships AND links AND illustrate THE intellectual structure of a scientific field. This research tries to study THE intellectual structure of ARTICLEs in THE field of futures studies in Iran by using THE technique of co-word analysis. Method: THE current research is a descriptive-analytical development with a scientometric approach. THE statistical population is 921 ARTICLEs retrieved records in THE field of futures studies. Findings: THE findings showed that ARTICLEs in THE field of futures studies in Iran are often associated with positive growth, AND in terms of frequency, THE keywords scenario, Islamic Republic, AND foresight are THE most frequent in futures studies. THE findings related to THE hierarchical clustering led to THE formation of 8 clusters in this field, namely "ICT visions", "geographers who love THE future", "knowledge development", " Futuristic higher education", "Future of Religion", "Regional Relations", "Strategic Foresight" AND "Heavy Weight of Method". Conclusion: According to THE findings of THE current research AND THE high frequency of THE keyword scenario, as well as THE density AND relationships of this keyword with oTHEr keywords, it can be concluded that THE scenario is THE dominant approach in futures studies. Also, according to THE resulting clusters, it was observed that THEse researches have a high variety, but addressing THE future in many areas is still neglected.

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نویسندگان: 

NEMATI KOUROSH

اطلاعات دوره: 
  • سال: 

    2018
  • دوره: 

    9
  • شماره: 

    2 (32)
  • صفحات: 

    49-69
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    217
  • دانلود: 

    0
چکیده: 

Early detection of lung nodules is extremely important for THE diagnosis AND clinical management of lung cancer. In this paper, a novel computer aided detection (CAD) system for THE detection of pulmonary nodules in conventional chest radiograph is presented. THE proposed approach is based on RADIAL BASIS FUNCTION NEURAL NETWORK. THE massive training RADIAL BASIS FUNCTIONs (MTRBFNN) is presented for classification between nodule AND non-nodule. THE MTRBFNN is trained by large number of overlapped sub-regions which are extracted from regional of interest (ROI). THE efficiency of THE MTRBFNN was assessed by ROC curves. THE ROC curve shows THE total sensitivity as a FUNCTION of THE number of non-nodules (false positives) at a certain point on THE curve per image. When THE MTRBFNN was applied, FPs decreased so that at some special operating points on THE ROC curve, THE reduction was up to 18% (99/550). THE MTRBFNN is able to reduce false-positive rate in this paper from 3.93 (550/140) to 0.71 (99/140) false positives per image, AND in total, gained a sensitivity of 92% (129/140).

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بازدید 217

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نویسندگان: 

JAVAN D.S. | RAJABI MASHHADI H. | ROUHANI M.

اطلاعات دوره: 
  • سال: 

    2011
  • دوره: 

    7
  • شماره: 

    4
  • صفحات: 

    273-282
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    363
  • دانلود: 

    0
چکیده: 

Deregulation of power system in recent years has changed static security assessment to THE major concerns for which fast AND accurate evaluation methodology is needed. Contingencies related to voltage violations AND power line overloading have been responsible for power system collapse. This paper presents an enhanced RADIAL BASIS FUNCTION NEURAL NETWORK (RBFNN) approach for on-line ranking of THE contingencies expected to cause steady state bus voltage AND power flow violations. Hidden layer units (neurons) have been selected with THE growing AND pruning algorithm which has THE superiority of being able to choose optimal unit’s center AND width (radius). A feature preference technique-based class separability index AND correlation coefficient has been employed to identify THE relevant inputs for THE NEURAL NETWORK. THE advantages of this method are simplicity of algorithm AND high accuracy in classification. THE effectiveness of THE proposed approach has been demonstrated on IEEE 14-bus power system.

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نویسندگان: 

Mansouri Gholamreza

اطلاعات دوره: 
  • سال: 

    1402
  • دوره: 

    17
  • شماره: 

    45
  • صفحات: 

    175-190
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    197
  • دانلود: 

    22
چکیده: 

In some point of view, neiTHEr Michel Foucault nor Ibn Khaldun are considered philosophers in THE conventional classifications, but both are very  important in intellectual AND, of course, in philosophical contexts, especially for those who are interested in THE deep study of human life from THE perspective of political thought.THE main concern of two thinkers, one in THE 14th century, THE oTHEr in THE 20th century, is THE issue  of power, although neiTHEr of THEm provided a precise definition of it. In this ARTICLE, an attempt has been made to show THE place of power AND domination in THE political thought of both thinkers by examining THE thoughts of two thinkers. AND in search of an answer to this question, how did Asabiyyah AND industry of religion in Ibn Khaldun's thought AND social control through self-technology AND discipline in Foucault's thought lead to THE expansion of THE domination of power? This ARTICLE is written by analytically comparing THE opinions of two thinkers based on Ibn Khaldun's most important book called Muqaddimah AND Foucault's late works

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اطلاعات دوره: 
  • سال: 

    1402
  • دوره: 

    20
  • شماره: 

    37
  • صفحات: 

    55-92
تعامل: 
  • استنادات: 

    0
  • بازدید: 

    147
  • دانلود: 

    8
چکیده: 

THE intellect is THE distinguishing feature of man from animals which has not been found anything more harmful than wine for intellect AND THE descent of man into THE position of animalism is THE result of that. Wine has always been forbidden in THE heavenly religions based on this, however, THE time AND manner of declaring its prohibition in Islam has led to THE confrontation of two viewpoints in THE instant prohibition with THE intoxicate of sleep in THE sense of THE state of being intoxicated (Arabic: سُکارَی) in verse 4:43 An-Nisāʾ (Arabic: النساء, An-Nisāʾ) AND gradual prohibition with THE intoxicate of wine. THE findings of this research by a library study AND descriptive analytical method indicate THE accuracy of THE THEory of instant prohibition with Quranic, narrational proofs AND rational confirmations AND historical evidence in declaring THE prohibition of wine in Makkī (Arabic: المکّیّ, suras revealed in Mecca) verses in early Biʿtha (Arabic: بِعثة) AND its emphasizing in verse 5:90 Al-Maʾidah (Arabic: المائدة, Al-Māʾidah). In contrast, THE inaccuracy of THE THEory of gradual prohibition of wine was proved due to its content contradiction AND opposition to THE Holy Book of Quran, because it is stated, on THE one hAND, that wine in THE first stage was forbidden during THE prayer time with THE revelation of verse 43 of An-Nisāʾ, THE sixth Madanī (Arabic: المدنیّ, suras revealed in Medina) surah in order to justify THE gradual THEory with THE gradual rational law, but on THE oTHEr hAND, it is stated to THE absolute prohibition of wine in its verse 219 AND also in some Makkī verses by violating THE law of gradualness, by declaring that Surah Al-Baqarah is one of THE first Madanī Chapters (suras) according to consensus that was revealed after THE Hijrah (Arabic: الهجرة). Consequently, THE occasions or circumstances of revelations in Sunni exegeses by negation THE intoxication of wine in gradual THEory have subjective exit from this verse for THE motivation of defense of drinking wine of some people AND THE unjust attribution to oTHErs by incorrect justifying THE allowance of wine until THE revelation of verse 43 of An-Nisāʾ in Medina. THErefore, THE distinction between declaring THE prohibition of wine in Mecca in early Biʿtha AND THE delay of several years of execution of Ḥadd (fixed punishment) of Khmer (THE drinking of alcohol, shurb khamr) in Medina in instant THEory, in addition to creating strong motivation in leaving AND religious final notice has also been a kind of educational method of Islam. While THE announcement of THE absolute prohibition of wine at THE same time as THE implementation of its Ḥadd (fixed punishment) with THE revelation of verse 90 of Al-Maʾidah from THE last Madanī Surahs (Surah Madaniyah) or Madani chapters in THE gradual THEory is against THE educational method expected by THEm. THE unjustifiable consumption of some companions of drinking wine in Medina until THE revelation of THE prohibition verse in addition to THE achievement of THE Quranic THEory of Saib Tabrizi (Persian: صائب تبریزی, Romanized: Ṣāʾib Tabrīzī) is among THE consequences of proving instant THEory of THE prohibition wine.

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