Add to ORKGInternational audienceThe neural applications in business finance are already numerous and related for the majority to the topic of the bankruptcy forecasting. Within the framework of classification problem we wish to widen this work with an analysis of financial performance of SME. The aim is to use here, the self-organizing maps of Kohonen as a traditional analysing tools of data and to study the company classes obtained while reasoning in term of performance
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
International audienceThe neural applications in business finance are already numerous and related f...
International audienceThe neural applications in business finance are already numerous and related f...
The problem of comparison of different companies is facing, when analyzing company's performance in ...
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...
This paper aims at using neural networks – and especially self‐organizing maps (SOMs) – to analyse a...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
An application of neural networks to classify the performance status of business firms is performed....
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
The goal of this thesis is to study the possibilities of Artificial neural network as an innovative ...
In this work, we explore the application of machine learning models (MLM) to the analysis of firms’...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
International audienceThe neural applications in business finance are already numerous and related f...
International audienceThe neural applications in business finance are already numerous and related f...
The problem of comparison of different companies is facing, when analyzing company's performance in ...
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...
This paper aims at using neural networks – and especially self‐organizing maps (SOMs) – to analyse a...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
An application of neural networks to classify the performance status of business firms is performed....
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
The goal of this thesis is to study the possibilities of Artificial neural network as an innovative ...
In this work, we explore the application of machine learning models (MLM) to the analysis of firms’...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...
This article deals with the usefulness of neuronal networks in the area of corporate finance. Firstl...