22 Result(s)

Article

Editorial to special issue: computational intelligence for optimization, modeling and control

Zeng-Guang Hou, Zhigang Zeng, Changyin Sun in Neural Computing and Applications (2009)

Article

Editorial to special issue: Biomedical engineering: information processing, modeling, and control

Zeng-Guang Hou, Long Cheng, Zhigang Zeng, Min Tan in Neural Computing and Applications (2011)

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 ...

Zhigang Liu, Wenfan Li, Wanlu Sun in Neural Computing and Applications (2013)

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...

Shi** Wen, Zhigang Zeng, Tingwen Huang in Neural Computing and Applications (2013)

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...

Gang Bao, Zhigang Zeng in Neural Computing and Applications (2013)

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...

Cheng Lian, Zhigang Zeng, Wei Yao, Huiming Tang in Neural Computing and Applications (2014)

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...

Ran Wang, Guoyou Wang, Zhong Chen, Zhigang Zeng… in Neural Computing and Applications (2014)

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...

Zhigang Liu, Wanlu Sun, Jiajun Zeng in Neural Computing and Applications (2014)

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...

Jian **ao, Zhigang Zeng in Neural Computing and Applications (2014)

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...

Ailong Wu, Zhigang Zeng, Jiejie Chen in Neural Computing and Applications (2014)

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...

Zhigang Wang, Zengshun Zhao, Shifeng Weng… in Neural Computing and Applications (2015)

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...

Jiejie Chen, Zhigang Zeng, ** Jiang, Huiming Tang in Neural Computing and Applications (2016)

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...

**aofen Zeng, Shi** Wen, Zhigang Zeng, Tingwen Huang in Neural Computing and Applications (2018)

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 ...

Nian Zhang, Zhigang Yao, Yufeng Zhou, Guiwu Wei in Neural Computing and Applications (2019)

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...

Yinfang Song, Zhigang Zeng, Wen Sun, Feng Jiang in Neural Computing and Applications (2020)

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...

Yue Han, Yuhong Liu, Zhigang ** in Neural Computing and Applications (2020)

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...

Zhigang **, Yang Yang, Yuhong Liu in Neural Computing and Applications (2020)

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...

Yiying Zhang, Zhigang **, Ye Chen in Neural Computing and Applications (2020)

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...

**aofang Zhao, Zhigang **, Yuhong Liu, Yi Hu in Neural Computing and Applications (2022)