scholarly journals Hand contour classification using evolutionary algorithm

2020 ◽  
Vol 49 (1) ◽  
pp. 55-79
Author(s):  
Jerry Moravec
Keyword(s):  
Linear Regression ◽  
Evolutionary Algorithm ◽  
Iterative Closest Point ◽  
Biometric Identification ◽  
Human Hand ◽  
Topological Description ◽  
Computer Classification ◽  
Combination Of Methods ◽  
Identification Of Persons ◽  
The Given

A biometric identification of persons wchich utilize contour of a human hand belogs to still very interesting and still not totally explored areas and its accuracy and effectiveness depends on technical capabilities to some extent. Presented paper solves given problem using combination of different algorithms. A hand contour is used, topological description of the hand, evolutionary algorithm, algorithm linear regression to estimate the knuckles positions and for contours comparison is used an algorithm Iterative Closest Point (ICP) in its genuine shape. All 5 fingers is at computer classification fully moveable, thumb has 2 knuckles. Modern evolutionary optimizers enable markedly to cut down computational demands of the algorithm ICP. Experimental verification of proposed recipes were performed with use of two different databases named THID and GPDS with persons of both gender and different age (cca 20-65let) with total number of oeprons in individual database 104 and 94. Experimental results checked succesfuly suitability of use combination of methods ICP and evolutionary optimizer which is named as EPSDE for solving of the given task with algorithmic complexity O(N) and success rate give by coefficient THID:EER=0.38% and GPDS:EER=0.35% on real images.

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

scholarly journals Linear Regression Algorithm in Machine Learning through MATLAB

2021 ◽  
Vol 9 (12) ◽  
pp. 989-995
Author(s):  
Kalva Sindhu Priya
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Linear Regression ◽  
Mean Squared Error ◽  
Critical Part ◽  
Squared Error ◽  
Master Level ◽  
Predicted Model ◽  
The Given

Abstract: In the present scenario, it is quite aware that almost every field is moving into machine based automation right from fundamentals to master level systems. Among them, Machine Learning (ML) is one of the important tool which is most similar to Artificial Intelligence (AI) by allowing some well known data or past experience in order to improve automatically or estimate the behavior or status of the given data through various algorithms. Modeling a system or data through Machine Learning is important and advantageous as it helps in the development of later and newer versions. Today most of the information technology giants such as Facebook, Uber, Google maps made Machine learning as a critical part of their ongoing operations for the better view of users. In this paper, various available algorithms in ML is given briefly and out of all the existing different algorithms, Linear Regression algorithm is used to predict a new set of values by taking older data as reference. However, a detailed predicted model is discussed clearly by building a code with the help of Machine Learning and Deep Learning tool in MATLAB/ SIMULINK. Keywords: Machine Learning (ML), Linear Regression algorithm, Curve fitting, Root Mean Squared Error

scholarly journals Pengaruh Promosi Penjualan dan E-service Quality Terhadap Minat Beli Ulang (Studi pada Pembeli di Marketplace Shopee)

2019 ◽  
Vol 8 (1) ◽  
pp. 37-42
Author(s):  
Nadya Andika Luthfiana ◽  
Sudharto P. Hadi
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Sales Promotion ◽  
Test Reliability ◽  
Repurchase Intention ◽  
Simple Linear Regression ◽  
Regression Test ◽  
The Given ◽  
Test Correlation ◽  
Program Version

The digitalization evolution have caused the rapid growth of the marketplaces. One of them is Shopee, which was the leading marketplace in Southeast Asia and Taiwan. However, Shopee have failed to retain its competitiveness against other marketplaces such as Tokopedia  and Lazada with a decrease on its visitor amount who are looking information at Shopee. It indicates that the consumer’s interest rate are fairly low which will affect repurchase intention. Therefore, Shopee need to pay attention for the possible affecting conditions related to consumers purchasing intentions. This study aims to determine the effect of sales promotion and also e-service quality on Shopee consumers purchasing intentions. This type of research is explanatory research. Samples are taken from 100 respondents who had made purchases on Shopee. The sampling techniques are accidental sampling and purposive sampling. Data were collected by a questioner, and literature studies. The analysis methods used are validity test, reliability test, correlation test, simple linear regression test, multiple linear regression test, determination coefficient (R2), and significance t test and f test with the help of IBM SPSS program version 25.0. Based on the results of the analysis, it can be concluded that the sales promotion and e-service quality have an effect on purchasing intentionss proven through the simple regression test with the result in regression values of 0,690 and 0,785.The given advice to the company are to fix the promotion issues and improving the amount of the selling promotion that have been carried and also re-evaluate the e-service quality strategy.

scholarly journals Retreatment Predictions in Odontology by means of CBR Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Livia Campo ◽  
Ignacio J. Aliaga ◽  
Juan F. De Paz ◽  
Alvaro Enrique García ◽  
Javier Bajo ◽  
...  
Keyword(s):  
Decision Support ◽  
Support System ◽  
Optimization Problem ◽  
Case Based Reasoning ◽  
False Negatives ◽  
Prediction Technique ◽  
Combination Of Methods ◽  
The Given ◽  
Case Based

The field of odontology requires an appropriate adjustment of treatments according to the circumstances of each patient. A follow-up treatment for a patient experiencing problems from a previous procedure such as endodontic therapy, for example, may not necessarily preclude the possibility of extraction. It is therefore necessary to investigate new solutions aimed at analyzing data and, with regard to the given values, determine whether dental retreatment is required. In this work, we present a decision support system which applies the case-based reasoning (CBR) paradigm, specifically designed to predict the practicality of performing or not performing a retreatment. Thus, the system uses previous experiences to provide new predictions, which is completely innovative in the field of odontology. The proposed prediction technique includes an innovative combination of methods that minimizes false negatives to the greatest possible extent. False negatives refer to a prediction favoring a retreatment when in fact it would be ineffective. The combination of methods is performed by applying an optimization problem to reduce incorrect classifications and takes into account different parameters, such as precision, recall, and statistical probabilities. The proposed system was tested in a real environment and the results obtained are promising.

Esterification kinetics of phenol with phosphoryl trichloride

1989 ◽  
Vol 54 (3) ◽  
pp. 608-615 ◽  
Author(s):  
Miroslav Magura ◽  
Ján Vojtko ◽  
Eva Zemanová ◽  
Alexander Kaszonyi ◽  
Ján Ilavský
Keyword(s):  
Liquid Phase ◽  
Linear Regression ◽  
Rate Constants ◽  
Optimization Method ◽  
Activation Energies ◽  
System Of Differential Equations ◽  
Consecutive Reactions ◽  
Esterification Rate ◽  
The Given ◽  
Kinetics Of

The liquid-phase esterification kinetics of phenol with POCl3 has been studied at isothermal conditions within the temperature interval from 90 to 110 °C. The esterification rate constants of the first, second, and third esterification steps and the activation energies of these steps have been calculated. The given system of competitive consecutive reactions can be described by a system of differential equations which has been solved by the Gauss-Newton optimization method of non-linear regression in the Marquardt modification. In the sequence of the first, second, and third step the esterification rate constants have been found to gradually decrease, whereas the activation energies uncrease in the same sequence.

On the frequency distribution of earthquake magnitude and intensity

1980 ◽  
Vol 70 (6) ◽  
pp. 2253-2260 ◽  
Author(s):  
Berislav Makjanić
Keyword(s):  
Linear Regression ◽  
Exponential Distribution ◽  
Frequency Distribution ◽  
Initial Distribution ◽  
Earthquake Magnitude ◽  
Generalized Exponential Distribution ◽  
Macroseismic Intensities ◽  
The Given ◽  
New Distribution

abstract Since the usual Gutenberg and Richter distribution of magnitudes does not give good fit to the observed data except in the middle of the range, it is proposed to find a new distribution of magnitudes starting from the two principles: (a) distribution of all magnitudes (initial distribution) has to be limited; and (b) distribution of the largest values (extremal distribution) has to be asymptotic extremal distribution for the given initial distribution. Since it is well established that the largest values of intensity and magnitude follow the so-called third asymptote, which is conveniently written in Jenkinson's form, the initial distribution which belongs to this extremal distribution is determined. A procedure for determining the parameters of the initial distribution is proposed. For the time being, better results are obtained from macroseismic intensities, since often the magnitudes are being determined from these intensities by means of the linear regression. As an example, the frequency distribution of the 100-yr series of intensity of Zagreb earthquakes is analyzed. It seems that this initial distribution, which turns out to be the generalized exponential distribution, gives good fit to the data.

Fuzzy Cognitive Maps and Bacterial Evolutionary Algorithm Approach to Integrated Waste Management Systems

2014 ◽  
Vol 18 (4) ◽  
pp. 538-548
Author(s):  
Adrienn Buruzs ◽  
◽  
Miklós Ferenc Hatwágner ◽  
László Tamás Kóczy ◽  
◽  
...  
Keyword(s):  
Waste Management ◽  
Evolutionary Algorithm ◽  
Holistic Approach ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Management Systems ◽  
Decision Making Process ◽  
Sustainable Waste Management ◽  
Integrated Waste Management ◽  
Combination Of Methods

Sustainable waste management systems necessarily include many interacting factors. Due to the complexity and uncertainties occurring in sustainable waste management systems, we propose the use of Fuzzy Cognitive Maps (FCM) and Bacterial Evolutionary Algorithm (BEA) [1] to support the planning and decision making process of integrated systems, as the combination of methods FCM and BEA seems to be suitable to model such complex mechanisms as Integrated Waste Management Systems (IWMS). This paper is an attempt to assess the sustainability of the IWMS in a holistic approach. While the FCM model represents the IWMS as a whole, the BEA is used for parameter optimization and identification. An interpretation of the results obtained by the FCM for the actual regional IWMS is also presented. We have obtained some surprising results, contradicting the general assumptions in the literature concerning the relative importance of constituting components in waste management systems.

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