Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi’s orthogonal arrays

... value of S D Ratio of the best network obtained using 48 training cases is inferior to that of the best network obtained using 30 cases Regarding the best network obtained using 60 training cases, ... of cutting forces and surface roughness for hard turning using neural networks Journal of Intelligent Manufacturing, 19, 473483 Shie, J R (2008) Optimization of injection molding process for contour ... resulting from Z-test for the best network congurations obtained in each experiment Number of training cases Mean values of S D Ratio for best network obtained for training set Number of training...

OPTIMIZATION OF SURFACE ROUGHNESS IN MICRO HIGH SPEED END MILLING OF SODA LIME GLASS USING UNCOATED TUNGSTEN CARBIDE TOOL WITH COMPRESSED AIR BLOWING

... Engineering III 10.4028/www.scientific.net/AMM.607 Optimization of Surface Roughness in Micro- High Speed End Milling of Soda Lime Glass Using Uncoated Tungsten Carbide Tool with Compressed Air Blowing ... carbide tool Fig 1: Schematic representation of the experimental setup used for high speed micro- end milling of soda lime glass with compressed air delivery mechanism A micro- grain cemented carbide ... soda lime glass using 0.5 mm uncoated tungsten carbide tool and compressed air blowing is a viable machining approach The empirical model developed is effective in predicting average surface roughness...

New radial basis function network based techniques for holistic recognition of facial expressions

... suitable for the holistic recognition of expressions from static facial images In the development, two new types of basis functions, namely, the Differentially Weighted Radial Basis Function ... Distribution of CSR for each basis function in the CBF network 143 6.10 The overall recognition rate for two criteria of Discriminative Indices vs number of Cloud Segments per basis function in CBF network ... Learning in DWRRBF Networks 136 Performance of Cloud Basis Functions 139 6.3.1 Parameter Learning in Cloud Basis Functions 141 6.3.2 Finding Optimal Number of Cloud Segments per Basis Function 143...

facial expression classification method based on pseudo-zernike moment and radial basis function network

... Proposed method 98.33% VI CONCLUSIONS The performance of orthogonal pseudo Zernike moment invariant (PZMI) and radial basis function neural network (RBFN) in the facial expression classification system ... Neural Network Based Facial Expression Analysis using Gabor Wavelets,” World Academy of Science, Engineering and Technology 42, 2008 Daw-Tung Lin, Facial Expression Classification Using PCA and ... Company Hong-Bo Deng, Lian-Wen Jin, Li-Xin Zhen, Jian-Cheng Huang, “A New Facial Expression Recognition Method Based on Local Gabor Filter Bank and PCA plus LDA,”International Journal of Information...

Báo cáo hóa học: " Research Article Adaptive Processing of Range Scanned Head: Synthesis of Personalized Animated Human Face Representation with Multiple-Level Radial Basis Function" docx

... understanding of how they enhance the understanding of face models Specifically, the goal of achieving a comprehensive understanding of adaption in face modeling requires the following priorities in research: ... interacting effect of facial animation parameters, the effect of adapted shape deformation for facial expression synthesis, with emphasis on the interaction between the adaption of shape with that of animation ... either holes or regions with poor quality of data on the scanned model (such as the region in and around the “ears”) If one vertex xi cannot match any of the surface of the scanned data, which means...

PPt4 Radial Basis Function Network - RBN pps

... 38 38 Radial basis function networks Feed-forward networks Non-linear classifiers Supervised learning Support vector machines Linear classifiers Perceptron Adaline Self-organizing maps K-means ... radial basis function Faculty of Electronics NN and Telecommunications, HUT Bangkok, Jun 14 – 23, 2006 1 if || x − t || c 11 11 Example ϕ2 +2 - - - ... 26 So sánh với FF NN RBF-Networks dùng cho hồi quy cho việc thực phân loại phức tạp/phi tuyến So sánh RBF networks FFNN:  Cả hai ví dụ non-linear layered feed-forward networks  Cả hai xấp xỉ...

Báo cáo đồ án trí tuệ nhân tạo : xây dựng chương trình sử dụng Radial basis functions neural networds để tìm đường phân lớp 2 tập điểm

... Báo cáo đề tài môn học Nhập Môn Trí Tuệ Nhân Tạo Đề Tài: Bài toán mô tả điểm không gian chiều Mỗi điểm gán Hãy xây dựng chương trình sử dụng Radial basis functions neural networds để tìm đường ... để tìm đường phân lớp tập điểm nói Giáo viên hướng dẫn: Thầy giáo Ngô Hữu Phúc Họ tên: Phạm Hùng Thịnh Lớp: Tin học 5A I Lời nói đầu Động lực thúc đẩy RBF phát triển l : Hàm phân lớp tuyến tính ... function ): Hàm bán kính hàm phụ thuộc vào khoảng cách từ đối số đến điểm (gọi tâm) cho trước với Một số hàm bán kính: • • Hàm Gaussian: Hàm đa thức: • Khoảng cách: Mạng hàm sở bán kính (RBF ): Giả sử...

a comparison of neural network architectures for

... global analysis and structural analysis As an example of the first category, we find techniques such as template matching, moment invariant, mathematical transforms (Fourier, Walsh, Hadamard, ... degree of correlation between a feature’s template and the input image A value of indicates that a feature template did not match the digit image; a value of indicates a complete match; and values ... Shannon’s entropy It is a statistical measurement of the capability of a feature to separate digit classes If the information measure of a feature is high, it indicates that the feature is able...

Báo cáo hóa học: " Research Article Comparing Robustness of Pairwise and Multiclass Neural-Network Systems for Face Recognition" pot

... 0.157 data in order to compare the robustness of the proposed pairwise and multiclass recognition systems The performances of the pairwise and multiclass recognition systems over different noise levels ... Performances of the pairwise and multiclass recognition systems versus the numbers of samples per subject Solid lines and bars are the mean and 2σ intervals, respectively Figure 6: Performance of ... between 50 and 200 Table shows the performances of the pairwise and multiclass systems for these data From this table we can see that the proposed pairwise system outperforms the multiclass system...

A self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

... with that of the standard pattern situated at a certain location, and that, at the same time, the lower part of this input pattern matches with that of the same standard pattern situated at another ... network has an ability of position- invariant patternrecognition In the field of engineering, many methods for pattern recognition have ever been proposed, and several kinds of optical character readers ... mechanism of pattern recognition in the brain, but he proposes it as a working hypothesis for some neural mechanisms of visual pattern recognition As was stated in Chap 1, the hierarchy model of the...

adaptive basis function construction an approach for adaptive building of sparse polynomial regression models

... www.intechopen.com Adaptive Basis Function Construction: An Approach for Adaptive Building of Sparse Polynomial Regression Models 129 Polynomial regression In standard regression formulation (Vapnik, ... taking an unweighted average of predictions of all the models: www.intechopen.com Adaptive Basis Function Construction: An Approach for Adaptive Building of Sparse Polynomial Regression Models ... The results of the performed experiments for function Synth1 www.intechopen.com Adaptive Basis Function Construction: An Approach for Adaptive Building of Sparse Polynomial Regression Models 147...

A radial basis function approach to pricing and hedging options incorporating transaction costs

...

Evolution of artificial neural network controller for a boost converter

... different artificial intelligence techniques viz., Artificial Neural Networks, Particle Swarm Optimization Algorithm and Genetic Algorithms 2.1 Artificial Neural Networks Artificial neural networks are ... compared to a conventional PI controller and the advantages explained and finally the proposed approach for the design of the architecture of the ANN is compared to that of a basic genetic algorithm ... effectiveness of a PSO based algorithm over a genetic algorithm for this application The performance is evaluated based on parameters such as computational time and number of generations Finally, Chapter...

Báo cáo khoa học nhận dạng mặt người dùng polar cosine transform và mạng radial basis function

... này, tìm hiểu, thử nghiệm đề xuất mô hình dùng Polar Cosine Transform (PCT) rút trích đặc trưng khuôn mặt mạng Radial Basis Function (RBF) để nhận dạng mặt người tư nhìn thẳng có khả giải vấn đề ... tế mang lại nhiều lợi ích, góp phần hoàn thiện hệ thống nhận dạng mặt người tương lai Phần lại báo tổ chức sau: Hệ thống nhận dạng mặt người tiền xử lý ảnh giới thiệu phần Phần trình bày kỹ thuật ... cứu sở liệu YALE [10] phần kết luận Hệ thống nhận dạng khuôn mặt Hệ thống nhận dạng mặt người gồm ba phần Phần đầu bước tiền xử lý, ảnh tỉnh mặt người xử lý để chuẩn hóa, loại bỏ nhiểu, phần...

Numerical simulation and optimization of CO2 sequestration in saline aquifers for enhanced storage capacity and secured sequestration

... Algorithms in Search, Optimization & Machine Learning AddisonWesley, Boston, 1989 Zhang Z., Agarwal R.K Numerical Simulation and Optimization of CO2 Sequestration in Saline Aquifers for Vertical and ... [4] Zhang Z., Agarwal R.K Numerical Simulation and Optimization of CO2 Sequestration in Saline Aquifers in: Proceedings of 10th Annual Conference on Carbon Capture and Sequestration, Pittsburgh, ... conducting several benchmark studies [3, 4] In this paper, we consider the optimization of two engineering techniques to increase the sequestration efficiency and safety of GCS in saline aquifers In...

Xem thêm