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Article
Editorial to special issue: computational intelligence for optimization, modeling and control
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Article
Editorial to special issue: Biomedical engineering: information processing, modeling, and control
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Article
A novel method of short-term load forecasting based on multiwavelet transform and multiple neural networks
This paper aims to develop a load forecasting method for short-term load forecasting based on multiwavelet transform and multiple neural networks. Firstly, a variable weight combination load forecasting model ...
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Article
Dynamic behaviors of memristor-based delayed recurrent networks
This paper investigates the problem of the existence and global exponential stability of the periodic solution of memristor-based delayed network. Based on the knowledge of memristor and recurrent neural netwo...
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Article
Multistability of periodic delayed recurrent neural network with memristors
This paper discusses the recurrent neural network (RNN) with memristors as connection weights. Memristor is a nonlinear resistor. Memristance varies periodically with time when the sinusoidal voltage source is...
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Article
Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis
Landslide hazard is a complex nonlinear dynamical system with uncertainty. The evolution of landslide is influenced by many factors such as tectonic, rainfall and reservoir level fluctuation. Using a time seri...
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Article
A palm vein identification system based on Gabor wavelet features
As a new and promising biometric feature, thermal palm vein pattern has drawn lots of attention in research and application areas. Many algorithms have been proposed for authentication since palm vein has spec...
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Article
Special issue on ICONIP 2012
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Article
A new short-term load forecasting method of power system based on EEMD and SS-PSO
Aiming to the disadvantages of short-term load forecasting with empirical mode decomposition (EMD) such as mode mixing and many high-frequency random components, a new short-term load forecasting model based o...
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Article
Global robust stability of uncertain delayed neural networks with discontinuous neuron activation
This paper integrates global robust stability of uncertain delay neural networks with discontinuous activation. The activation function is unbounded and the uncertainties are norm bound. By the homotopy invari...
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Article
Analysis and design of winner-take-all behavior based on a novel memristive neural network
In this paper, some sufficient conditions are derived to guarantee a novel memristive neural network for realizing winner-take-all behavior. Some design methods for synthesizing the winner-take-all behavior ba...
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Article
Incremental multiple instance outlier detection
I-MLOF algorithm is an extension of local outlier factor (LOF) algorithm in multiple instance (MI) setting. The task of I-MLOF is to identify MI outlier. However, I-MLOF algorithm works in batch mode, where a...
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Article
Application of multi-gene genetic programming based on separable functional network for landslide displacement prediction
Complexity of analysis of landslide hazard is due to uncertainty. In this study, a novel approach multi-gene genetic programming based on separable functional network (MGGPSFN) is presented for predicting land...
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Article
Design of memristor-based image convolution calculation in convolutional neural network
In this paper, an architecture based on memristors is proposed to implement image convolution computation in convolutional neural networks. This architecture could extract different features of input images wh...
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Article
Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm
This paper extends Archimedean t-norm and t-conorm to aggregate the dual hesitant fuzzy linguistic information. Firstly, some basic concepts of dual hesitant fuzzy linguistic elements (DHFLEs) and operational ...
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Article
Quasi-synchronization of stochastic memristor-based neural networks with mixed delays and parameter mismatches
This paper is concerned with quasi-synchronization of stochastic memristor-based neural networks with mixed delays and parameter mismatches. Due to the parameter mismatches, mean-square exponential synchroniza...
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Article
Sentiment analysis via semi-supervised learning: a model based on dynamic threshold and multi-classifiers
Sentiment analysis has become a very popular research topic, especially for retrieving valuable information from various online environments. Most existing sentiment studies are based on supervised learning, w...
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Article
Stock closing price prediction based on sentiment analysis and LSTM
Stock market prediction has been identified as a very important practical problem in the economic field. However, the timely prediction of the market is generally regarded as one of the most challenging proble...
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Article
Hybridizing grey wolf optimization with neural network algorithm for global numerical optimization problems
This paper proposes a novel hybrid algorithm, called grey wolf optimization with neural network algorithm (GNNA), for solving global numerical optimization problems. The core idea of GNNA is to make full use o...
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Article
Heterogeneous information network embedding for user behavior analysis on social media
User behavior prediction with low-dimensional vectors generated by user network embedding models has been verified to be efficient and reliable in real applications. However, existing graph representation lear...