Forty-six samples of Chinese spirits, whose bouquets were determined by sensory evaluations, and 17 compounds characteristic of the flavors determined by gas chromatography/gas chromatography-mass spectrometry (GC/GC-MS), were subjected to neural network analysis and their corresponding factor scores developed. To make the bouquet recognition more efficient, an improved artificial back-propagat...

Although the use of computer color matching can reduce the influence of subjective factors by technicians, matching the color of a natural tooth with a ceramic restoration is still one of the most challenging topics in esthetic prosthodontics. Back propagation neural network (BPNN) has already been introduced into the computer color matching in dentistry, but it has disadvantages such as unstab...

Breast cancer has become a common mortality factor in Malaysia. Despite the fact, not all general hospitals have the mammogram facilities. The long waiting for diagnosing a breast cancer may increase the possibility of fatality and the cancer spreading. Therefore a computerized breast cancer diagnosis prototype has been developed to reduce the time taken and indirectly reducing the probability ...

Modeling NOx emissions from coal fired utility boiler is critical to develop a predictive emissions monitoring system (PEMS) and to implement combustion optimization software package for low NOx combustion. This paper presents an efficient NOx emissions model based on support vector regression (SVR), and compares its performance with traditional modeling techniques, i.e., back propagation (BPNN...

As near infrared spectra has the characters of multi-variables and strong correlations, to solve the problem, Fourier transform (FT) was used to extract feature variables of shelled chestnuts spectra. FT coefficients and the status of 178 chestnuts were selected as inputs and outputs of the back-propagation neural network (BPNN) classifier to build a recognition model. For comparison, principal...

Data physical education process is also the practical of information technology and college curriculum integration. In order to improve accuracy sports training management evaluation, we propose a golden sine algorithm (GoldenSA) based on back propagation neural network (BPNN) model whose performance affected by its parameter selection optimize BPNN (GoldSA-BPNN). The quality evaluation in high...

The proposed method in this paper is to perform the classification using SVM classifier by considering the input features from discrete wavelet transform, to identify disease in the plant by using visual symptoms. Testing has been done by using 40 images of banana leaf. The classification accuracy of the proposed method is 97% which is better compare with 86% of accuracy, produced by Back-propa...

The purpose of this study is to compare the performance of Back-Propagation Neural Network and Support Vector Machine (SVM) for liver cancer classification. The performance of both models is compared and validated in terms of accuracy within the true positive rate and false positive rate. The total 583 cases is examined, 418 cases are classified accurately as true Positive rate and remaining as...

Face recognition is one of biometric methods, to identify given face image using main features of face. In this paper, a neural based algorithm is presented, to detect frontal views of faces. The dimensionality of face image is reduced by the Kernel based 2 dimensional symmetrical principal component analysis (K2DSPCA) and the recognition is done by the Back propagation Neural Network (BPNN). H...

To solve the problem that the parameters in grey neural network (GNN) are difficult to determine, the improved Particle Swarm Optimization (IPSO) algorithm is employed to search the optimums by the introduction of a threshold of velocity. When the particle velocity is less than the threshold, an accelerated momentum is applied on the particle to reinitialize the particle velocity and position. ...