Improved NARX-ANFIS Network structure with Genetic Algorithm to optimizing Cash Flow of ATM Model
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Nowadays, the rapid growth of data in organizations has caused managers to look for a way to analyze them. Extracting useful knowledge from aggregation data can lead to appropriate strategic decision-making for the organization. This paper suggests an application of hybrid network based on amount month demand in every ATM device based on transaction mean of 9 months for 1377 devices to obtain customer behavior patterns, to do so, first designed a basic model based on an auto-regressive with exogenous input network (NARX) then, the optimization of the weight and bias of the designed network is made by the genetic algorithm (GA). As a result, finding the weights of the network represents a nonlinear optimization problem that is solved by the genetic algorithm. Paper results show that the NARX-ANFIS Hybrid network using GA for the learning of rules and to optimize the network weights and weights of the network and the fixed threshold can improve the accuracy of the prediction model. Also, classic models are more efficient and increased benefits and lower financing costs and more rational inventory cash control. As well, the designed model can lead to increase benefits and decrease costs in the bank so that, exact forecast and optimal cash upload in ATMs will lead to increase funds on the bank and rise customers and popularity the brand of the bank.
Keywords:
Language:
English
Published:
Advances in Mathematical Finance and Applications, Volume:8 Issue: 1, Winter 2023
Pages:
241 to 254
https://www.magiran.com/p2527160
سامانه نویسندگان
اطلاعات نویسنده(گان) توسط ایشان ثبت و تکمیل شدهاست. برای مشاهده مشخصات و فهرست همه مطالب، صفحه رزومه را ببینید.
مقالات دیگری از این نویسنده (گان)
-
Cost, revenue and profit efficiency in multi-period network system: A DEA-R based approach
Maghsood Ahmadkhanlou Gharakhanlo *, Gasem Tohidi, Nima Azarmir Shotorbani, , Roohollah Abbasi
Communications in Combinatorics and Optimization, Autumn 2024 -
Efficiency evaluation of cement production companies using nonhomogeneous network DEA
Homa Abedi Dehkordi, Ghasem Tohidi *, , Mohammad Ali Keramati
Journal of Industrial Management Studies, -
پیش بینی هوشمند نقدینگی دستگاه های خودپرداز برمبنای تقاضای مشتریان
، قاسم توحیدی*، ، نصرت الله شادنوش، مسعود صانعی
مجله پژوهش های نوین در ریاضی، فروردین و اردیبهشت 1399