An Empirical Analysis on BOLL Expert System Based on Maximum Income

2013 ◽  
Vol 850-851 ◽  
pp. 1040-1043 ◽  
Author(s):  
Pin Wang ◽  
Hai Ping Huang
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Empirical Analysis ◽  
Annual Rate ◽  
Rate Of Return ◽  
Security Market ◽  
Profit Rate ◽  
Management Objectives ◽  
Statistical Experiments ◽  
Net Profit

This paper presents tests security transaction BOLL expert systems, through statistical experiments, with the wining rate, annual rate of return and net profit rate as the management objectives, on basis of the mass data generated by the security market; The results show that win rate value of BOLL expert system as high as 88.95%, and annual rate of return and net profit rate are 33.37% and 13.9% respectively. Compared with RSI expert system, the transaction times are only 52.09% of RSI expert system, which should be the true reason why the rate of turn of BOLL expert system is not high.

Comparison between the Expert Systems of SAR and BOLL

2013 ◽  
Vol 850-851 ◽  
pp. 1106-1109 ◽  
Author(s):  
Hai Ping Huang ◽  
Xiao Ming Huang ◽  
Pin Wang
Keyword(s):  
Expert Systems ◽  
Transaction Cost ◽  
Annual Rate ◽  
Rate Of Return ◽  
Security Market ◽  
Profit Rate ◽  
Mass Data ◽  
Management Objectives ◽  
Statistical Experiments ◽  
Net Profit

This paper presents tests and comparisons between SAR and BOLL, tow security transaction expert systems, through statistical experiments, with the wining rate, annual rate of return and net profit rate as the management objectives, on basis of the mass data generated by the security market; the results suggest a ratio among the wining rate, annual return rate and net profit rate of the two as 0.876, 0.936 and 0.936 respectively, and the yearly numbers of transactions of SAR is 3.7 times more than that of BOLL. The lower rate of SAR is, as believed, a result of the higher transaction cost of it comparing with BOLL.

Discussion on the Anti-Trend Expert Systems of RSI, BIAS, KDJ and W&R

2014 ◽  
Vol 926-930 ◽  
pp. 3786-3789
Author(s):  
Xiao Ming Huang ◽  
Hai Ping Huang ◽  
Pin Wang
Keyword(s):  
Comparative Analysis ◽  
Expert System ◽  
Expert Systems ◽  
Real Data ◽  
Profit Margin ◽  
Rate Of Return ◽  
Statistical Experiment ◽  
Management Objectives ◽  
Net Profit ◽  
Securities Trading

Based on mass real data with the method of statistical experiment, this paper attempts to take the winning rate, annual rate of return and net profit margin as the management objectives for the comparative analysis on the strengths and weaknesses of the four systems of RSI, BIAS, KDJ and W&R among the securities trading software through testing, the results of which show that RSI expert system is the best one with its overall testing results superior to other anti-trend expert systems (MA, MACD, MTM). So it is suggested that investors should choose only RSI expert system.

On the W&R and RSI Expert Systems of Securities Software

2013 ◽  
Vol 433-435 ◽  
pp. 1685-1688 ◽  
Author(s):  
Pin Wang ◽  
Hai Ping Huang
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Open Data ◽  
Profit Margin ◽  
Rate Of Return ◽  
Annual Number ◽  
Statistical Experiment ◽  
Management Objectives ◽  
Net Profit ◽  
Securities Trading

Using the method of statistical experiment and based on real and open data of securities, the research conducted a test to the W&R and RSI expert system of securities trading software. Taking annual net profit margin, rate of return, and win rate as the management objectives, the research compared and analyzed the two similar reversal trend indicators on the basis of mathematic statistics theories, and achieved results that the annual rate of return and net profit margin of the RSI expert system are superior to that of the W&R expert system for 4.72 times, and that the annual number of trades of RSI is superior to that of W&R for 0.893 times.

Analyses on W&R and BIAS Expert System of Stock-Market Software

2013 ◽  
Vol 433-435 ◽  
pp. 2391-2394 ◽  
Author(s):  
Hai Ping Huang ◽  
Pin Wang
Keyword(s):  
Expert System ◽  
Stock Market ◽  
Simulation Experiment ◽  
Return Rate ◽  
Profit Rate ◽  
Net Profit ◽  
Experiment Method ◽  
Stock Market Trading ◽  
Extensive Quantity ◽  
Factual Data

According to extensive quantity of public and factual data, this essay does tests on BIAS and W&R expert system of stock-market trading software in simulation experiment method, and compares their strength and weakness in the respect of mathematical statistics theory and Management objects, winning rate, annual return rate and net profit rate. The tests show that BIAS expert system is 2.58 times as good as W&R expert system in the items of annual return rate and net profit rate, 0.26 times in the item of the total number of trading. As a whole, BIAS expert system is superior to W&R expert system.

Discussions on Securities Software Expert System MA and RSI

2013 ◽  
Vol 798-799 ◽  
pp. 757-760 ◽  
Author(s):  
Hai Ping Huang ◽  
Pin Wang
Keyword(s):  
Expert System ◽  
Simulation Experiment ◽  
Securities Market ◽  
Massive Data ◽  
The Public ◽  
Management Objectives ◽  
Winning Percentage ◽  
Net Profit ◽  
Experiment Method ◽  
Securities Trading

Based on the public and actual massive data of securities market, through testing the MA and RSI expert system of securities trading software by simulation experiment method, with the winning percentage, the annual rate of return, and the net profit margin as the management objectives, and with the theory of mathematical statistics as the research basis, the article carried out the comparative analysis of strength and weakness of these two systems. Except the annual transaction number, RSI expert system is comprehensively superior to MA expert system.

Empirical Analysis on Expert Tendency System MA, MACD and MTM

2014 ◽  
Vol 926-930 ◽  
pp. 3802-3805 ◽  
Author(s):  
Pin Wang ◽  
Hai Ping Huang
Keyword(s):  
Statistical Theory ◽  
Expert System ◽  
Empirical Analysis ◽  
Real Data ◽  
Profit Margin ◽  
Securities Market ◽  
Advantages And Disadvantages ◽  
Net Profit ◽  
Securities Trading ◽  
Better Than

Ith the method of empirical analysis, based on the huge amounts of real data opened by securities market, through testing the expert system of securities trading software MTM, MACD and MA, with odds, annual returns and net profit margin as management goals, statistical theory as research basis, comparatively analyzed the advantages and disadvantages of the three systems. Except for annual transaction times of number, MA expert system is slightly better than the MACD expert system; while MA expert system, no matter in odds, net profit margin or in annual returns, trading opportunities, is better than that of MTM expert system in all-round way.

scholarly journals Profitability analysis of hotel companies in the Republic of Serbia

2021 ◽  
Vol 9 (1) ◽  
pp. 121-134
Author(s):  
Aleksandra Mitrović ◽  
Snežana Knežević ◽  
Marko Milašinović
Keyword(s):  
Rate Of Return ◽  
Profit Rate ◽  
Return On Equity ◽  
Operating Profit ◽  
Profitability Analysis ◽  
Net Profit ◽  
The Republic ◽  
Profitability Ratios ◽  
A Company ◽  
Research Show

The purpose of the research is to examine the level and trends of profitability ratios of hotel companies operating in the Republic of Serbia in the period from 2016 to 2019. The research was conducted on a sample of 100 hotel companies, where profitability was measured by the operating profit rate, the net profit rate, the rate of return on total assets and the rate of return on equity. The results of the research show that the values of the used profitability indicators have increased in 2017 compared to 2016, but decreased in 2018 and 2019. Statistical analysis found that changes in the operating profit rate and net profit rate during the observed four-year period were not statistically significant, while the decline in the value of the rate of return on total assets in 2018 compared to 2017 and the decline in the rate of return on equity in 2018 compared to 2017 and in 2019 compared to 2018 was statistically significant. The results of the research can be important for (1) the management of a company, (2) its owners, because they enable gaining an insight into the level of profitability of entrusted companies, i.e. the companies that are in the ownership, and (3) investors and creators of tourism development policy.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

scholarly journals Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System

2021 ◽  
Vol 13 (9) ◽  
pp. 4640
Author(s):  
Seung-Yeoun Choi ◽  
Sean-Hay Kim
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Data Analytics ◽  
High Performance ◽  
Problem Definition ◽  
Design Expert ◽  
Decision Support Process ◽  
High Performance Building

New functions and requirements of high performance building (HPB) being added and several regulations and certification conditions being reinforced steadily make it harder for designers to decide HPB designs alone. Although many designers wish to rely on HPB consultants for advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems can help designers by providing the role of HPB consultants. The effectiveness and success or failure of the solution offered by the expert system must be affected by the quality, systemic structure, resilience, and applicability of expert knowledge. This study aims to set the problem definition and category required for existing HPB designs, and to find the knowledge acquisition and representation methods that are the most suitable to the design expert system based on the literature review. The HPB design literature from the past 10 years revealed that the greatest features of knowledge acquisition and representation are the increasing proportion of computer-based data analytics using machine learning algorithms, whereas rules, frames, and cognitive maps that are derived from heuristics are conventional representation formalisms of traditional expert systems. Moreover, data analytics are applied to not only literally raw data from observations and measurement, but also discrete processed data as the results of simulations or composite rules in order to derive latent rule, hidden pattern, and trends. Furthermore, there is a clear trend that designers prefer the method that decision support tools propose a solution directly as optimizer does. This is due to the lack of resources and time for designers to execute performance evaluation and analysis of alternatives by themselves, even if they have sufficient experience on the HPB. However, because the risk and responsibility for the final design should be taken by designers solely, they are afraid of convenient black box decision making provided by machines. If the process of using the primary knowledge in which frame to reach the solution and how the solution is derived are transparently open to the designers, the solution made by the design expert system will be able to obtain more trust from designers. This transparent decision support process would comply with the requirement specified in a recent design study that designers prefer flexible design environments that give more creative control and freedom over design options, when compared to an automated optimization approach.

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