Hybrid Multilayer Perceptron Network for Explosion Blast Prediction

Prediction of daily evaporation using hybrid support vector regression-firefly optimization algorithm and multilayer perceptron

Prediction of daily evaporation is a valuable and determinant tool in sustainable agriculture and hydrological issues, especially in the design and management of water resources systems. Therefore, in this study, the ability of artificial intelligence models of multi-layer perceptron (MLP), support vector regression (SVR), and the hybrid model of support vector regression-firefly optimization a...

A Hybrid Multilayer Perceptron Neural Network for Direct Marketing

Data Mining is the use of algorithms to extract the information and patterns derived by the knowledge discovery in database process. It is often referred to as supervised learning because the classes are determined before examining the data. In many data mining applications that address classification problems, feature and model selection are considered as key tasks. That is, appropriate input ...

An Hybrid Multilayer Perceptron Using Gso-ga for Software Defect Prediction

Software defect prediction has turned into an expected requirement for organizations to guarantee quality and reliability of software products. The early defect prediction can encourage managers to amend and improve reliability of product. Methodologies, for example, machine learning and neural network have ended up as eminent solution for training and classification of data and can be importan...

Music instrument categorization using multilayer perceptron network

Audio content description is one of the key components to multimedia search, classification and source identification. This project examines precision of audio content description based on spectral information only on one hand, and spectral and temporal on the other. Multilayer neural network with varied parameters is used to classify musical instruments based on obtained descriptors.

Maximum covariance method for weight initialization of multilayer perceptron network