4 research outputs found
Business and Social Behaviour Intelligence Analysis Using PSO
The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artiļ¬cial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviour
Business and Social Behaviour Intelligence Analysis Using PSO
The goal of this paper is to elaborate swarm
intelligence for business intelligence decision making and the
business rules management improvement. The paper introduces
the decision making model which is based on the application of
Artificial Neural Networks (ANNs) and Particle Swarm
Optimization (PSO) algorithm. Essentially the business spatial
data illustrate the group behaviors. The swarm optimization,
which is highly influenced by the behavior of creature, performs
in group. The Spatial data is defined as data that is represented
by 2D or 3D images. SQL Server supports only 2D images till
now. As we know that location is an essential part of any
organizational data as well as business data: enterprises maintain
customer address lists, own property, ship goods from and to
warehouses, manage transport flows among their workforce, and
perform many other activities. By means to say a lot of spatial
data is used and processed by enterprises, organizations and other
bodies in order to make the things more visible and selfdescriptive.
From the experiments, we found that PSO is can
facilitate the intelligence in social and business behaviour
Business and Social Behaviour Intelligence Analysis Using PSO
The goal of this paper is to elaborate swarm intelligence for business intelligence decision making and the business rules management improvement. The paper introduces the decision making model which is based on the application of Artiļ¬cial Neural Networks (ANNs) and Particle Swarm Optimization (PSO) algorithm. Essentially the business spatial data illustrate the group behaviors. The swarm optimization, which is highly influenced by the behavior of creature, performs in group. The Spatial data is defined as data that is represented by 2D or 3D images. SQL Server supports only 2D images till now. As we know that location is an essential part of any organizational data as well as business data: enterprises maintain customer address lists, own property, ship goods from and to warehouses, manage transport flows among their workforce, and perform many other activities. By means to say a lot of spatial data is used and processed by enterprises, organizations and other bodies in order to make the things more visible and self-descriptive. From the experiments, we found that PSO is can facilitate the intelligence in social and business behaviou