An Extended Self-Organizing Map based on 2-opt algorithm for solving symmetrical Traveling Salesperson Problem

Ahmad, Rashid; Kim, Do‐Hyeun

doi:10.1007/s00521-014-1773-z

Cited by 9 publications

(5 citation statements)

References 16 publications

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“…The performances of most machine learning models were similar to the LM, except for the SOM, whose performance improved with an increase in input variables from one to four (TP, AN, DO and COM) but declined when more variables were added. This may be related to model optimization to different local optima, resulting in diverse model performance caused by various input groups [ 107 , 108 ]. The R 2 and NSE for all models that predicted using one variable (TP) ranged from 0.5 to 0.6, except for KNN, where the NSE values were 0.412 and 0.381 for the training and testing phases, respectively.…”

Section: Resultsmentioning

confidence: 99%

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

Xu,

Mo,

Zhu

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

Xu,

Mo,

Zhu

et al. 2024

Heliyon

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“…Customers' satisfaction is a great step and has the potential for creating good and sustainable relationships (Cheng & Rashid, 2013;Choi & Kim, 2013). For this reason, the intelligence of a salesperson to overcome any difficulties faced by customers and to provide solutions to these difficulties become the main points and determine his success (Ahmad & Kim, 2015). If customers feel that they receive the helped over the difficulty, the customers will get satisfied.…”

Section: Adaptive Selling and Niche Based Relational Capabilitymentioning

confidence: 99%

Niche Based Relational Capability to Increase Salespeople Performance in Small and Medium Enterprises

Udayana

2022

Business: Theory and Practice

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The role of salespeople is increasingly important in relation to improving sales performance. Sales may increase if it is supported by reliable, smart and hardworking salesperson. To create a professional salesperson, enterprises need to provide a guidance, for example, in the form of practical training that can support their works. The ability to adapt when interacting with the customers plays a critical role in relation to improving salesperson performance. However, there are inconsistencies in research findings between adaptive sales and salesperson performance. This research was conducted on salesperson in small and medium enterprises. Our sample consists of 300 respondents who lived in the Special Region of Yogyakarta. To obtain proper data, we carried out screening and trimming. The tests include: bias non-response test, logical connection test, and confirmatory factor analysis. This study uses structural equation model. A Sobel test was conducted to test the role of moderating variable. The findings of the research indicate that niche based relational capability was influenced by customers trust orientation, salesperson’s expertise and adaptability when interacting with their customers. The higher customers trust and the more intelligence of salesperson are, it will increase the niche based relational capability. In addition, salesperson’s performance may increase if it is supported by extensive customers relation based on market gaps, trust and salesperson’s intelligence. This research also discusses managerial implication, limitation and the directions for future research.

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“…Faced with a large number of patent documents, patent applicants need to quickly retrieve authorized patents that are highly similar to patent applications. Reasonable patent infringement avoidance processing is carried out to ensure that there is no duplication or conflict between its own patents and authorized patents (Ahmad and Kim, 2015). This will increase the probability of successful patent application.…”

Section: Literature Review 21 Patent Infringement Detectionmentioning

confidence: 99%

Bibliometric analysis of patent infringement retrieval model based on self-organizing map neural network algorithm

Zhu

2019

LHT

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Purpose The purpose of this paper is to quickly retrieve the same or similar patents in a large patent database. Design/methodology/approach The research is carried out through the analysis of the issue of patent examination, the type of patent infringement search and theories related to patent infringement determination and text mining. Findings The results show that the model improves the speed of patent search. It can quickly, accurately and comprehensively retrieve the same or equivalent patents as the imported patent claims. Research limitations/implications The patent infringement detection mainly focuses on the measurement of patent similarity in the implementation method. It is not mature, and there is still much room for improvement in research. Practical implications The model improves the efficiency of patent infringement detection, increases the accuracy of detection and protects the interests of patent stakeholders. Originality/value This study has great significance for improving the efficiency of patent examiners.

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An Extended Self-Organizing Map based on 2-opt algorithm for solving symmetrical Traveling Salesperson Problem

Cited by 9 publications

References 16 publications

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

Assessing and predicting water quality index with key water parameters by machine learning models in coastal cities, China

Niche Based Relational Capability to Increase Salespeople Performance in Small and Medium Enterprises

Bibliometric analysis of patent infringement retrieval model based on self-organizing map neural network algorithm

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