Handwritten digit recognition has always been a challenging task in pattern recognition area. In this paper we explore the performance of support vector machines (SVM) and principal component analysis (PCA) on handwritten digits recognition. The performance of SVM on handwritten digits recognition task is compared with three typical classification methods, i.e., linear discriminant classifiers ...

In this study, we propose a novel method for medical problem, it is the integration of particle swarm optimization (PSO) and decision tree (C4.5) named PSO + C4.5 algorithm. To evaluate the effectiveness of PSO + C4.5 algorithm, it is implemented on 5 different data sets of life sciences obtained from UCI machine learning databases. Moreover, the results of PSO + C4.5 implementation are compare...

Accurate state of charge (SOC) estimation is great significance to promote the development new energy vehicles. And a battery model’s accuracy for SOC accuracy. To this end, method based on back propagation neural network-Ant Lion Optimizer (BPNN-ALO) and unscented Kalman filter (UKF) proposed. First, 2-RC model established BPNN used fit OCV-SOC corresponding relationship. Second, ALO are combi...

Multilayered feed-forward neural networks trained with back-propagation algorithm are one of the most popular “online” artificial neural networks. These networks are showing strong inherit parallelism because of the influence of high number of simple computational elements. So it is natural to try to implement this kind of parallelism on parallel computer architecture. The Parallel Hybrid Ring ...

life style and life expectancy of inhabitants have been affected by the increase of particulate matter 10 micrometers or less in diameter (pm10) in cities and this is why maximum pm10 concentrations have received extensive attention. an early notice system for pm10 concentrations necessitates an accurate forecasting of the pollutant. in the current study an artificial neural network was used t...

Electromyograph (EMG) features have the properties of large variations and nonstationarity. An important issue in the classification of EMG is the classifier design. The major goal of this paper is to develop a classifier for the classification of eight kinds of prehensile postures to achieve high classification rate and reduce the online learning time. The cascaded architecture of neural netwo...

Accurate medium- and long-term electricity peak load forecasting is critical for power system operation, planning, trading. However, challenging because of the complex nonlinear relationship between related factors. Here, we propose a hybrid LSTM–BPNN-to-BPNN model combining long short-term memory network (LSTM) back propagation neural (BPNN) to separately extract features historical data futur...

Road freight transportation between provinces of a country has an important effect on the traffic flow of intercity transportation networks. Therefore, an accurate estimation of the road freight transportation for provinces of a country is so crucial to improve the rural traffic operation in a largescale management. Accordingly, the focused case study database in this research is the informatio...

Now a days Image processing field is becoming more popular especially for the security purposes. It has many sub fields and face recognition is one of them. Face is the important part of our body by which it is easy to identify and recognize the person. Whereas face detection is a challenging tasks as there are many issues such as changes in the appearances of faces, variations in poses, noise,...

Received Nov 11, 2017 Revised Jan 15, 2018 Accepted Feb 1, 2018 License Plate Recognition (LPR) is the mission of identifying the vehicle using number plate extraction. An efficient method for recognizing plate based on Undecimated Wavelet Transform (UWT) is proposed. Plates are recognized using features from undecimated coefficients in this system. Morphological edge detection technique is use...