A Hybrid Group Search Optimization Based on Fish Swarms

A Hybrid Method for Searching Near-Optimal Artificial Neural Networks

scholarly article published December 2006

A Hybrid Model for Symbolic Interval Time Series Forecasting

A Hybrid SOM-Based Document Organization System

A Machine Learning Approach to Define Weights for Linear Combination of Forecasts

scholarly article by Ricardo Prudêncio & Teresa B. Ludermir published 2006 in Lecture Notes in Computer Science

A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines

A Neighbor Generation Mechanism Optimizing Neural Networks

A Two Stage Clustering Method Combining Self-Organizing Maps and Ant K-Means

A Weightless Neural Node Based on a Probabilistic Quantum Memory

A comparative study of neural network to artificial noses

A distributed PSO-ARIMA-SVR hybrid system for time series forecasting

A hybrid evolutionary decomposition system for time series forecasting

A methodology to train and improve artificial neural networks' weights and connections

scholarly article published 2006

A multi-objective memetic and hybrid methodology for optimizing the parameters and performance of artificial neural networks

scholarly article by Leandro M. Almeida & Teresa B. Ludermir published March 2010 in Neurocomputing

A new evolutionary algorithm for mining top-k discriminative patterns in high dimensional data

A study of cross-validation and bootstrap as objective functions for genetic algorithms

A tool to implement probabilistic automata in RAM-based neural networks

Active Generation of Training Examples in Meta-Regression

Active Learning to Support the Generation of Meta-examples

Active Meta-Learning with Uncertainty Sampling and Outlier Detection

Active Selection of Training Examples for Meta-Learning

Active learning and data manipulation techniques for generating training examples in meta-learning

Active selection of training instances for a random forest meta-learner

scholarly article published August 2013

Advances in intelligent systems

Algoritmo Baseado Em Cardumes De Peixes Modificado Para A Otimização De Extreme Learning Machines

An Analysis Of PSO Hybrid Algorithms For Feed-Forward Neural Networks Training

scholarly article published October 2006

An Analysis of Meta-learning Techniques for Ranking Clustering Algorithms Applied to Artificial Data

An Evolutionary Approach for Tuning Artificial Neural Network Parameters

scholarly article published in Lecture Notes in Computer Science

An approach to reservoir computing design and training

An automatic method for construction of ensembles to time series prediction

An automatic methodology for construction of multi-classifier systems based on the combination of selection and fusion

An efficient static gesture recognizer embedded system based on ELM pattern recognition algorithm

scholarly article by Lucas F.S. Cambuim et al published August 2016 in Journal of Systems Architecture

An evolutionary approach for the clustering data problem

An evolutionary extreme learning machine based on group search optimization

An improved method for automatically searching near-optimal artificial Neural Networks

scholarly article published June 2008

An optimization methodology for neural network weights and architectures.

scientific article published in November 2006

Analysis of Quantum Neural Models

Analysis of mammogram using self-organizing neural networks based on spatial isomorphism

Application of the IPSONet in face detection

Automatic parameters selection in machine learning

scholarly article by Teresa B. Ludermir et al published January 2012 in Neurocomputing

BRACIS 2015: Progress in computation intelligence in Brazil

scientific article published in July 2017

Chaos in Quantum Weightless Neuron Node Dynamics

Chaos in a quantum neuron: An open system approach

Clustering and co-evolution to construct neural network ensembles: an experimental study.

scientific article published on 26 February 2008

Clustering and selection of neural networks using adaptive differential evolution

Clustering cancer gene expression data: a comparative study

scientific article (publication date: 27 November 2008)

Combining Uncertainty Sampling Methods for Active Meta-Learning

Combining Uncertainty Sampling methods for supporting the generation of meta-examples

Comments on “Quantum M-P Neural Network”

Comparative study on normalization procedures for cluster analysis of gene expression datasets

article

Comparing Metrics in Fuzzy Clustering for Symbolic Data on SODAS Format

Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses

Comparing evolutionary methods for reservoir computing pre-training

Comparing recurrent networks for time-series forecasting

Comparison of new activation functions in neural network for forecasting financial time series

Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques

Complementary Log-Log and Probit: Activation Functions Implemented in Artificial Neural Networks

scholarly article published September 2008

Computability of Logical Neural Networks

article

Constructive neural networks in forecasting weekly river flow

Correlations of multiscale entropy in the FX market

Credit Card Users' Data Mining

Credit Risk Assessment and Data Mining

DESIGN OF EXPERIMENTS IN NEURO-FUZZY SYSTEMS

Data Clustering Using Group Search Optimization with Alternative Fitness Functions

Deep Learning for Wind Speed Forecasting in Northeastern Region of Brazil

article

Design of experiments in neuro-fuzzy systems

scholarly article published 2005

Differential evolution and meta-learning for dynamic ensemble of neural network classifiers

Dimensionality Reduction by Semantic Mapping in Text Categorization

Dynamic selection of forecast combiners

EFuNN Ensembles Construction Using CONE with Multi-objective GA

EFuNN Ensembles Construction Using a Clustering Method and a Coevolutionary Multi-objective Genetic Algorithm

Editorial: A Successful Year and Looking Forward to 2017 and Beyond

Effect of the PSO Topologies on the Performance of the PSO-ELM

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

scientific article published in 2022

Equivalence between RAM-based neural networks and probabilistic automata.

scientific article published in July 2005

Estabelecimento de Volumes de Espera em Tempo Real Aplicando Algoritmos Genéticos e Redes Neurais

Estratégia Evolucionária e Algoritmo Genético para Otimização Dinâmica de Parâmetros de EFuNNs

Evolutionary extreme learning machine based on particle swarm optimization and clustering strategies

Evolutionary optimization of RBF networks

Evolutionary optimization of RBF networks.

scientific article published in June 2001

Evolutionary strategy for simultaneous optimization of parameters, topology and reservoir weights in Echo State Networks

Evolving Artificial Neural Networks Using Adaptive Differential Evolution

scholarly article by Adenilton J. da Silva et al published 2010 in Lecture Notes in Computer Science

Evolving Fuzzy Neural Networks Applied to Odor Recognition

Evolving Neural Networks Using Differential Evolution with Neighborhood-Based Mutation and Simple Subpopulation Scheme

Evolving both size and accuracy of RBF networks using Memetic Algorithm

Evolving fuzzy neural networks applied to odor recognition in an artificial nose

Extreme Learning Machine for Real Time Recognition of Brazilian Sign Language

article

Feature Selection for Neural Networks Through Binomial Regression

Feature and algorithm selection with Hybrid Intelligent Techniques

Feature subset selection in a methodology for training and improving artificial neural network weights and connections

scholarly article published June 2008

Fitting Parameters on Quantum Weightless Neuron Dynamics

Forecasting models for interval-valued time series

Forecasting models of wind power in Northeastern of Brazil

article

Foreign exchange rate entropy evolution during financial crises

Frankenstein PSO applied to neural network weights and architectures

GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg–Landau formalism

scholarly article by Darko Stošić et al published October 2016 in Journal of Computational Physics

Genetic algorithm for reservoir computing optimization

HYBRID OPTIMIZATION TECHNIQUE FOR ARTIFICIAL NEURAL NETWORKS DESIGN

scholarly article published 2009

Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm

Hybrid Systems for River Flood Forecasting Using MLP, SOM and Fuzzy Systems

Hybrid Systems to Select Variables for Time Series Forecasting Using MLP and Search Algorithms

Hybrid Technique for Artificial Neural Network Architecture and Weight Optimization

scholarly article by Cleber Zanchettin & Teresa Bernarda Ludermir published 2005 in Lecture Notes in Computer Science

Hybrid Training Method for MLP: Optimization of Architecture and Training.

scientific article published on 10 February 2011

Hybrid Training of Feed-Forward Neural Networks with Particle Swarm Optimization

Hybrid model with dynamic architecture for forecasting time series

Hybrid neural systems for pattern recognition in artificial noses.

scientific article published in February 2005

Hybrid optimization algorithm for the definition of MLP neural network architectures and weights

Hydrological Forecasting and Updating Procedures for Neural Network

Implementing Any Nonlinear Quantum Neuron

scientific article published on 25 September 2019

Improved Evolutionary Extreme Learning Machines Based on Particle Swarm Optimization and Clustering Approaches

article published in 2012

Improved Group Search Optimizer based on cooperation among groups for feedforward networks training with Weight Decay

Improved Semantic Mapping and SOM Applied to Document Organization

Improving reservoir based wind power forecasting with ensembles

Investigating the effect of demographic and socioeconomic variables on misclassification by the SRQ-20 compared with a psychiatric interview.

scientific article published in January 2005

Investigating the use of Echo State Networks for prediction of wind power generation

Investigating the use of Reservoir Computing for forecasting the hourly wind speed in short -term

Investigating the use of alternative topologies on performance of the PSO-ELM

Issues on the Complexy of Training Weightless Neural Networks

Knowledge extraction: a comparison between symbolic and connectionist methods.

scientific article published in June 1999

LearningWeights for Linear Combination of Forecasting Methods

Literal and ProRulext: algorithms for rule extraction of ANNs

scholarly article published 2005

MLP networks for classification and prediction with rule extraction mechanism

Message from General Chairs

Meta-learning approaches to selecting time series models

Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm

Modeling a particular decision process by using a modulatory activation function.

scientific article published in April 2003

Modeling of the rainfall-runoff relationship with artificial neural network

scholarly article published 2005

Modulatory interaction as a support to modeling neural substrates of the decision process

Monthly stream flow forecasting using an neural fuzzy network model

article

Multivariate Modelling of Water Resources Time Series Using Constructive Neural Networks

Neural Network Hybrid Learning: Genetic Algorithms & Levenberg-Marquardt

scholarly article published 2003

Neural Network Use for the Identification of Factors Related to Common Mental Disorders

Neural network training with global optimization techniques.

scientific article published in April 2003

Neural networks vs. PARMA modelling: case studies of river flow prediction

Neural networks with asymmetric activation function for function approximation

NeuroInflow: the new model to forecast average monthly inflow

Odor recognition systems for natural gas odorization monitoring

On a hybrid weightless neural system

On the Universality of Quantum Logical Neural Networks

article

Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology

Optimization of neural network weights and architectures for odor recognition using simulated annealing

Optimization of the weights and asymmetric activation function family of neural network for time series forecasting

Otimização de Reservoir Computing com PSO: Parâmetros Globais, Arquitetura e Pesos

PSO for Reservoir Computing Optimization

Particle Swarm Optimization of Feed-Forward Neural Networks with Weight Decay

Particle Swarm Optimization of MLP for the identification of factors related to Common Mental Disorders

Particle Swarm Optimization of Neural Network Architectures andWeights

Paths to collapse for isolated skyrmions in few-monolayer ferromagnetic films

scholarly article in Physical Review B, vol. 95 no. 21, June 2017

Physical Topology Design of Optical Networks Aided by Many-Objective Optimization Algorithms

Pinning of magnetic skyrmions in a monolayer Co film on Pt(111): Theoretical characterization and exemplified utilization

scholarly article in Physical Review B, vol. 96 no. 21, December 2017

Polypyrrole based aroma sensor

Predicting the Performance of Learning Algorithms Using Support Vector Machines as Meta-regressors

Preface

Progress in intelligent systems

Progress in intelligent systems design

QRNN: $q$ -Generalized Random Neural Network

scientific article published on 14 January 2016

Quantum Logical Neural Networks

article

Quantum perceptron over a field and neural network architecture selection in a quantum computer. ⬇️

scientific article published on 27 January 2016

Ranking and selecting clustering algorithms using a meta-learning approach

article published in 2008

Redes Compostas por Blocos de Regress�es Sigm�ides N�o-lineares: Uma eficiente rede de alta ordem com aplica��es na previs�o de s�ries temporais

Redes Neurais Artificiais com Funções de Ativação Complemento LOG-LOG e PROBIT para Aproximar Funções na Presença de Observações Extremas

Reservoir Computing optimization with a hybrid method

River Flow Forecasting with Constructive Neural Network

River flow forecasting for reservoir management through neural networks

SSDP: A Simple Evolutionary Approach for Top-K Discriminative Patterns in High Dimensional Databases

Selecting Machine Learning Algorithms Using the Ranking Meta-Learning Approach

scholarly article by Ricardo B. C. Prudêncio et al published 2011 in Studies in Computational Intelligence

Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach

Selecting and Ranking Time Series Models Using the NOEMON Approach

Selecting variables with search algorithms and neural networks to improve the process of time series forecasting

Selection and Fusion of Neural Networks via Differential Evolution

Selective generation of training examples in active meta-learning

Self-organization neurons blocks networks [sic]

Semantic mapping and K-means applied to hybrid SOM-based document organization system construction

Single-shot learning algorithm for quantum weightless neural networks

Sistemas neurais híbridos para reconhecimento de padrões em narizes artificiais

Solving NP-complete Problems Using Quantum Weightless Neuron Nodes

Special Issue HIS 2007

Superposition Based Learning Algorithm

Symbolic interval time series forecasting using a hybrid model

Synthesis of Probabilistic Automata in pRAM Neural Networks

The Influence of Different Cost Functions in Global Optimization Techniques

The VIIth Brazilian Symposium on Artificial Neural Networks. Introduction by guest editors.

scientific article published in April 2003

Topology optimization for artificial neural networks using differential evolution

scholarly article published July 2010

Tuning Artificial Neural Networks Parameters Using an Evolutionary Algorithm

scholarly article published September 2008

Uma Abordagem Evolucionária Para A Otimização De Redes RBF

Uma Abordagem Evolucionária Para A Tarefa De Agrupamento De Dados

Uma Rede Neural Construtiva Com Atualização Dinâmica De Pesos

Uncertainty Sampling-Based Active Selection of Datasetoids for Meta-learning

Uncertainty sampling methods for selecting datasets in active meta-learning

Using Machine Learning Techniques to Combine Forecasting Methods

scholarly article by Ricardo Prudêncio & Teresa B. Ludermir published 2004 in Lecture Notes in Computer Science

Using Reservoir Computing for Forecasting Time Series: Brazilian Case Study

article

Using Support Vector Machines to Predict the Performance of MLP Neural Networks

Using good and bad diversity measures in the design of ensemble systems: A genetic algorithm approach

Voting based q-generalized extreme learning machine

Web Documents Categorization Using Neural Networks

Weightless Neural Networks: Knowledge-Based Inference System

Weightless neural models

Weightless neural network parameters and architecture selection in a quantum computer ⬇️