Objective - The objective of this paper is to consider using machine learning approaches for in-firm processes prediction and to give an estimation of such values as effective production quantities.Methodology - The research methodology used is a synthesis of a deep-learning model, which is used...

Forecasts of stock market volatility is an important input for market participants in measuring and managing investment risks. Thus, understanding the most appropriate methods to generate accurate is key. This paper examines the ability of Machine Learning methods, and specifically Artificial...

Interests in digital image processing are growing enormously in recent decades. As a result, different data compression techniques have been proposed which are concerned mostly in minimization of information used for the representation of images. With the advances of deep neural networks, image...

This paper proposes a new way to model behavioral agents in dynamic macro-financial environments. Agents are described as neural networks and learn policies from idiosyncratic past experiences. I investigate the feedback between irrationality and past outcomes in an economy with heterogeneous...

Management accounting is an important component of managerial decision making to help guide the overall business strategy in organizations. A management accounting index (MAI) can provide a quantitative measure of management accounting practices (MAPs) and help stakeholders determine an...

The goal of this paper is to build a trading algorithm by applying image recognition neural network - Convolutional Neural Network(CNN) - to the 2D technical candle stick charts. First, this paper shows a research survey of the previous paper. Second, this paper explains the basic theory of CNN...