Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article
Author

Visit Limsombunchai

3 articles in our journals

Articles where this person is an author, newest first. People are matched by their name as printed (no ORCID iD is recorded for them), not by name alone; search the name as text to find namesakes too.

Research ArticleOpen accessConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,444 accessesView PDFCite
Research ArticleOpen accessAn Analysis of Credit Scoring for Agricultural Loans in ThailandVisit Limsombunchai, Christopher Gan, Minsoo LeeLoan contract performance determines the profitability and stability of the financial institutions and screening the loan applications is a key process in minimizing credit risk. Before making any credit decisions, credit analysis (the assessment of the financial history and financial backgrounds of the borrowers) should be completed as part of the screening process. A good credit risk assessment assists financial … …American Journal of Applied Sciences, Vol. 2, Issue 8 · 31 Aug 2005 · 7,622 accessesView PDFCite
Research ArticleOpen accessHouse Price Prediction: Hedonic Price Model vs. Artificial Neural NetworkVisit Limsombunchai, Christopher Gan, Minsoo LeeThe objective of this study is to empirically compare the predictive power of the hedonic model with an artificial neural network model for house price prediction. A sample of 200 houses in Christchurch, New Zealand is randomly selected from the Harcourt website. Factors including house size, house age, house type, number of bedrooms, number of bathrooms, number of garages, amenities … …American Journal of Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2004 · 9,606 accessesView PDFCite