ARTIFICIAL NEURAL NETWORK

IDENTIFYING AND CONTROLLING ROTARY INVERTED PENDULUM SYSTEM BY ARTIFICIAL NEURAL NETWORK The artificial neural network ANN is trained to identify the system of pendulum of 1 input and 2 [r]

Besides, in the situation the patterns do not belong to any in the L given classes, SVM methods are not defined [2]. On the other hand, SVM will classify the pattern in a given class based on the calculation parameters. This is a wrong result classification. One other approach[r]

One aspect of artificial neural networks which is different and advantageous to conventional computation is its high degree of parallelism. The insensitivity of artificial neural networks to partial hardware failure is made possible only due to this aspect.
Another i[r]

In this study, a feed-forward back-propagation Artificial Neural Network (ANN) is used to predict the stress relaxation and behavior of creep for bimaterial microcantilever beam for sensing device. Results obtained from ANSYS® 8.1 finite element (FE) simulations, which show good agreement with exper[r]

In this study, a feed-forward back-propagation Artificial Neural Network (ANN) is used to predict the stress relaxation and behavior of creep for bimaterial microcantilever beam for sensing device. Results obtained from ANSYS® 8.1 finite element (FE) simulations, which show good agreement with exper[r]

1. Introduction
Applications of Artificial Neural Networks (ANNs) attract the attention of many scientists from all over the world. They have many advantages over traditional algorithmic methods. Some of these advantages are, but not limited to; ease of training and generalization,[r]

ACKNOWLEDGMENTS The authors would like to thank the European Commission for the financial support received as part of the European Project Polycity Energy networks in sustainable communi[r]

Stratification of patient subpopulations that respond favorably to treatment or experience and adverse reaction is an essential step toward development of new personalized therapies and diagnostics.

It will use the network.nn file as a neural network, and load data form data1_file and data2_file, which represents data
vectors from positive and negative classes, and train it for 1000 epochs.
The neural network file format is described in my Face Detection[r]

Nghiên cứu giới thiệu phương pháp dự báo độ rỗng bằng phương pháp truyền thống và sử dụng mạng neuron nhân tạo (Artificial Neural Network - ANN). Phương pháp nội suy truyền thống Kriging sẽ được áp dụng để tìm ra mối quan hệ trong không gian của thông số độ rỗng thông qua các mô hình 2D. Nghiên cứu[r]

Abstract — Facial Expression Classification is an interesting research problem in recent years. There are a lot of methods to solve this problem. In this research, we propose a novel approach using Canny, Principal Component Analysis (PCA) and Artificial Neural Network. Fir[r]

Pedagogy – HCM City - Vietnam,
haits@hcmup.edu.vn
Abstract —Facial Expression Classification have much attention in recent years. There are a lot of approaches to solve this problem. In this paper, we use Principal Component Analysis (PCA) and Artificial Neural[r]

Keyword: Neural Network, Multi Artificial Neural Network (MANN), Image Classification.
I. INTRODUCTION
Landscape image of regional tourism classification is a kind of pattern classification, which has large pattern representation space.[r]

close to reality) and associative (i.e. include typical profiles) but not descriptive. Ex-
amining the artificial neural network itself only shows meaningless numeric values.
The ANN model is fundamentally a black box. On the other hand, being contin-
uous and derivable,[r]

The aim of this study is to examine the efficiency of various financial ratios and identify their average weights through objective methods namely MLP of Artificial Neural Network, Entropy and Critic Methods.

Abstract —Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into account its emotional content. The goal of the research presented in this paper is to examine possibilities of us[r]

Bài báo giới thiệu khả năng ứng dụng thuật toán học máy để dự báo khai thác cho đối tượng móng mỏ Bạch Hổ. Kết quả nghiên cứu cho thấy mô hình mạng neural nhân tạo (artificial neural network - ANN) sử dụng thuật toán lan truyền ngược và mô hình tăng trưởng logistic (logistics growth mode[r]

 hello word ŷ viefnmesecharacferrecogition
4. Conclusion
For both Template matching (TM) and Artificial neural network (ANN) methods, the recognizing performance for each letters is pretty high (82% - 95%). TM seems to be better in recognizing script in good con[r]

Ứng dụng trí tuệ nhân tạo trong việc dự đoán lũ lụt ( English version)
The artificial neural network (ANN) has been applied in many hydrological models in recent years and pays attention thanks to the performance of the model. This report focuses on using the application of the ANN based on artific[r]

Bài báo này trình bày đề xuất các mô hình dựa vào thuật toán về trí tuệ nhân tạo bao gồm mạng nơ-ron thần kinh (ANNs – Artificial neural network), máy hỗ trợ véc tơ (SVMs), cây phân loại và hồi quy (CART), hồi quy tuyến tính (LR), hồi quy tuyến tính tổng quát (GENLIN), tự động p[r]