Developing a Novel Hybrid Biogeography-Based Optimization Algorithm for Multilayer Perceptron Training under Big Data Challenge

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...

Multilayer Perceptron: Architecture Optimization and Training

Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization

    Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...

A Constructive Algorithm for the Training of a Multilayer Perceptron Based on the Genetic Algorithm

A genetic algorit hm is proposed for the training and construction of a multilayer perceptron. The genetic algorit hm works on a layer-by-layer basis. For each layer, it automat ically chooses the number of neurons required, computes the synaptic weights between the present layer of neurons and the next layer, and gives a set of training patterns for the succeeding layer. The algorithm presente...

Multilayer Perceptron Training

In this contribution we present an algorithm for using possibly inaccurate knowledge of model derivatives as a part of the training data for a multilayer perceptron network (MLP). In many practical process control problems there are many well-known rules about the eeect of control variables to the target variables. With the presented algorithm the basically data driven neural network model can ...