A Neural network approach to visibility range estimation under foggy weather conditions

A conventional approach to nighttime visibility in adverse weather conditions

A Neural Network Approach to Software Project Effort Estimation

One of the major problems with software development projects is that it is extremely difficult to accurately estimate their likely cost, duration and effort requirements. This invariably leads to problems in project management and control. Part of the problem is that during the early stages of these projects, very little is known about the problem domain, and initial estimates tend to be best g...

A Simple Neural Network Approach to Software Cost Estimation

The effort invested in a software project is one of the most challenging task and most analyzed variables in recent years in the process of project management. Software cost estimation predicts the amount of effort and development time required to build a software system. It is one of the most critical tasks and it helps the software industries to effectively manage their software development p...

The Neural Network Modeling Approach for Long Range Expansion Policy of Power Plant Ccenters

Traditionally, Electrical power plant capacities are determined after specific plant locations have been selected. In this paper an expansion policy of power plant centers involving the choice of regions that must be allocated to power plant centers and power plant centers capacities over a specified planning horizon (years) is tackled. The problem is performed as a mixed integerprogramming mod...

Hammerstein-Wiener Model: A New Approach to the Estimation of Formal Neural Information

　A new approach is introduced to estimate the formal information of neurons. Formal Information, mainly discusses about the aspects of the response that is related to the stimulus. Estimation is based on introducing a mathematical nonlinear model with Hammerstein-Wiener system estimator. This method of system identification consists of three blocks to completely describe the nonlinearity of inp...