Concurrent neural network: a model of competition between times series

نویسندگان

چکیده

Competition between times series often arises in sales prediction, when similar products are on sale a marketplace. This article provides model of the presence cannibalization series. creates "competitiveness" function that depends external features such as price and margin. It also theoretical guaranty error under some reasonable conditions, implement this using neural network to compute competitiveness function. implementation outperforms other traditional time methods classical networks for market share prediction real-world data set. Moreover, it allows controlling underprediction, which plagues forecasts models.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Neural Network Model for the Correlation between Sprinters’ Pre-competition Anxiety and Competition Performance

Sprint is an important sporting event in track and field competition, in which, athletes’ pre-competition anxiety will greatly affect them in bringing into play their competence, which will then influence their final performance in the competition. For this reason, to study the correlation between sprinters’ pre-competition anxiety and their competition performance is of great significance in p...

متن کامل

A neural mass model of CA1-CA3 neural network and studying sharp wave ripples

We spend one third of our life in sleep. The interesting point about the sleep is that the neurons are not quiescent during sleeping and they show synchronous oscillations at different regions. Especially sharp wave ripples are observed in the hippocampus. Here, we propose a simple phenomenological neural mass model for the CA1-CA3 network of the hippocampus considering the spike frequency adap...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Annals of Operations Research

سال: 2021

ISSN: ['1572-9338', '0254-5330']

DOI: https://doi.org/10.1007/s10479-021-04253-3