A model for investment type recommender system based on the potential investors based on investors and experts feedback using ANFIS and MNN

Abstract This article presents an investment recommender system based on an Adaptive Neuro-Fuzzy Inference System (ANFIS) and pre-trained weights from a Multimodal Neural Network (MNN). The model is designed to support the investment process for the customers and takes into consideration seven facto...

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Bibliografski detalji

Glavni autori:	Asefeh Asemi, Adeleh Asemi, Andrea Ko
Format:	Artigo
Jezik:	Inglês
Izdano:	SpringerOpen 2024-09-01
Serija:	Journal of Big Data
Teme:	Adaptive neuro-fuzzy inference system (ANFIS) Investment recommender system Multimodal neural network Clustering JMP MATLAB
Online pristup:	https://doi.org/10.1186/s40537-024-00965-y
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