[[abstract]]The evaluation of a firm's performance has been extensively studied in the field of accounting. This paper presents an integrated devaluation system which is based on a neural-network approach designed to predict a firm's performance. The integrated system combines two neural network paradigms – self-organizing network and Grossberg's instar network. The results of our experimental studies reveal that the proposed integrated system exhibits reliable classifying potential with a high degree of fault tolerance in the overall process of evaluating a firm's performance.[[notice]]補正完畢[[journaltype]]國外[[booktype]]紙本[[countrycodes]]US
Abstract Predicting corporate failure or bankruptcy is one of the most important prob-lems facing bu...
After production and operations, finance and investments are one of the mostfrequent areas of neural...
Purpose – The purpose of this paper is to build a neural network system to predict corporate credit...
An application of neural networks to classify the performance status of business firms is performed....
The content of modern management accounting is formed in conjunction with the rapid development of i...
© 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. This article solves th...
This Paper introduces a neural-net approach to perform discriminant analysis in business research. A...
This paper considers the use of neural networks—namely self-organizing maps (SOMs)—to analyze and cl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is ins...
Detecting Earnings Management Using Neural Networks. Trying to balance between relevant and reliable...
The financial sustainability of enterprise is an extremely important concept in a market environment...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
Purpose – The objective of this paper is to stress the importance of detecting financial frauds in p...
Acknowledgment: The authors are grateful to Giri Tayi and Seungik Baek for constructive comments
Abstract Predicting corporate failure or bankruptcy is one of the most important prob-lems facing bu...
After production and operations, finance and investments are one of the mostfrequent areas of neural...
Purpose – The purpose of this paper is to build a neural network system to predict corporate credit...
An application of neural networks to classify the performance status of business firms is performed....
The content of modern management accounting is formed in conjunction with the rapid development of i...
© 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. This article solves th...
This Paper introduces a neural-net approach to perform discriminant analysis in business research. A...
This paper considers the use of neural networks—namely self-organizing maps (SOMs)—to analyze and cl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is ins...
Detecting Earnings Management Using Neural Networks. Trying to balance between relevant and reliable...
The financial sustainability of enterprise is an extremely important concept in a market environment...
Abstract This study aims at profitability prediction of listed companies in Tehran Stocks Exchange (...
Purpose – The objective of this paper is to stress the importance of detecting financial frauds in p...
Acknowledgment: The authors are grateful to Giri Tayi and Seungik Baek for constructive comments
Abstract Predicting corporate failure or bankruptcy is one of the most important prob-lems facing bu...
After production and operations, finance and investments are one of the mostfrequent areas of neural...
Purpose – The purpose of this paper is to build a neural network system to predict corporate credit...