A New Architecture Based on Artificial Neural Network and PSO Algorithm for Estimating Software Development Effort

Diagnosis of hyperlipidemia in patients based on an artificial neural network with pso algorithm

One of the most common and most dangerous diseases of blood fats are such as heart disease, diabetes and stroke, heart and brain. It can control the timely diagnosis, treatment and then prevention of complications is become very effective even without using medicine. Heart disease and diabetes file if patients has useful information that can be used to estimate blood fat timely diagnosis. In th...

a new algorithm and software of individual life insurance and annuity computation

چکیده ندارد.

A Concise Neural Network Model for Estimating Software Effort

In this research, it is concerned with constructing software effort estimation model based on artificial neural networks. The model is designed accordingly to improve the performance of the network that suits to the COCOMO model. In this paper, it is proposed to use multi layer feed forward neural network to accommodate the model and its parameters to estimate software development effort. The n...

A New Approach For Estimating Software Effort Using RBFN Network

The prediction of software development effort has been focused mostly on the accuracy comparison of algorithmic models rather than on the suitability of the approach for building software effort prediction systems. Several estimation techniques have been developed to predict the Effort estimation. In this paper the main focus is on investigating the accuracy of the prediction of effort using RB...

Applying an Artificial Neural Network to Predicting Effort and Errors for Embedded Software Development Projects

Structural Reliability: An Assessment Using a New and Efficient Two-Phase Method Based on Artificial Neural Network and a Harmony Search Algorithm

In this research, a two-phase algorithm based on the artificial neural network (ANN) and a harmony search (HS) algorithm has been developed with the aim of assessing the reliability of structures with implicit limit state functions. The proposed method involves the generation of datasets to be used specifically for training by Finite Element analysis, to establish an ANN model using a proven AN...