Artificial Neural Network Applications (127 results)

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Paperback. Condition: new. Paperback. Advancements in Artificial Neural Networks (ANN), machine learning, and deep learning are transforming the way complex science and engineering problems are addressed, offering solutions where traditional methods fall short. These technologies enable accurate modeling and analysis in areas such as heat transfer, desalination processes, pollutant biodegradability, and material science, contributing to sustainable development and innovative engineering practices. By applying these methods, researchers can enhance efficiency, optimize resource use, and tackle pressing environmental challenges. This integration of advanced computational tools into real-world applications represents a significant leap forward in addressing multidisciplinary engineering and scientific challenges. Expert Artificial Neural Network Applications for Science and Engineering provides a complete understanding of the ANNs for engineering practices. It discusses current developments in solving complicated engineering problems that cannot be solved using traditional methods. Covering topics such as industrial equipment reliability, manufacturing processes, and air quality forecasting, this book is an excellent resource for mechanical engineers, chemical engineers, civil engineers, electrical engineers, biomedical engineers, computer scientists, professionals, researchers, scholars, academicians, and more. "The goal of this book is to use an expert Artificial Neural Network (ANN) to solve various science and engineering application problems and to discuss current developments in solving complicated engineering problems that cannot be solved using traditional methods"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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paperback. Condition: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2002-01-01 Pages: 193 Publisher: Chemical Industry Press Welcome Our service and quality to your satisfaction. please tell your friends around. thank you for your support and look forward to your service QQ: 11.408.523.441 We sold the books are not tax price. For invoices extra to eight percent of the total amount of the tax point. Please note in advance. After payment. within 48 hours of delivery to you. Do not frequent reminders. if not the recipient. please be careful next single. OUR default distribution for Shentong through EMS. For other courier please follow customer instructions. The restaurant does not the post office to hang brush. please understand. Using line payment. must be in time for the payment to contact us. Stock quantity is not allowed. Specific contact customer service. 6. Restaurant on Saturday and Sunday. holidays. only orders not shipped. The specific matters Contact Customer Service. Basic information about the title: artificial neural network theory. design and application of original price: 21.00 yuan price: 16.80 yuan to 4.20 yuan discount savings for you: 80% off: Han Liqun ed Publisher: Chemical Industry Press Publication Date :2002-1- 1ISBN: 9787502533540 Words: 307.000 yards: 193 Edition: 1 Binding: Paperback: product size and weight: edit recommend EXECUTIVE SUMMARY This book discusses artificial neural network theory. design basis and application examples designed to make readers understand neural network development background and study. understand and are familiar with its basic principles and main applications. to master its structural model and the basic application of design methods. and to lay the foundation for future in-depth research and application development. In order to facilitate the reader to understand the book to avoid tedious derivation. strengthen the application example. and noted that the the readers initial contact with the new concept of easy to accept the logic and thinking on the selection and presentation of content. Learning through this book. readers will artificial neural networks have a basic understanding of the preliminary application design and lay the foundation for the subsequent in-depth research and application development. As the expansion of knowledge. the book also introduces the basic concepts of artificial neural systems architecture. control characteristics and mode. Of creation of artificial neural network theory and application courses for electrical specialty in graduate and senior undergraduate students for six consecutive years. in five modifications handouts and a number of research based on the formation of this book. This book is suitable for the Graduate College Electrical Information. undergraduate and a variety of scientific and technical personnel read. 1.5 Chapter Summary thinking of the applications of artificial neural networks of Contents 1 Introduction 1.1 Overview 1.4 artificial neural network of the basic characteristics and functions of the 1.2 Artificial Neural Networks brief history 1.3 artificial neural network 2.1 artificial neural network with the biological basis of to practice artificial neural network 2.3 artificial neural network model of the biological basis of 2.2 artificial neuron model 2.4 3.2 Multilayer Perceptron 3.3 adaptive linear unit 3 feedforward neural networks 3.1 single-layer perceptron to learn the thinking and practice of the 2.5 Chapter Summary 3.4 error back propagation artificial neural network ( BP) algorithm 3.5 standard BP Algorithm 3.6 based on BP algorithm of multi-layer feedforward network design basis 3.7 3.8 Chapter Summary Thinking and 4.1 competition practice self-organizing neural network learning based on BP algorithm of multi-layer feedforward network application design instance 4.2 concepts and principles of self-organizing feature map (SOM) neural network 4.3 SOFM ne.

paperback. Condition: New. Paperback Pages Number: 150 Language: English. Artificial neural network theory and application of user-friendly way about the basic principles of artificial neural network. design. and computer methods. The book is divided into 12 chapters. The first chapter describes the history of the development of workers neural network and its main characteristics. the basic principles of biological neural networks and artificial neural networks in Chapters II and III. the fourth chapter to chapter 10 o.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The topic of my book is the Detection Of Cervical Cancer Using Artificial Neural Networks, which is totally based on training a data set and finding the probability of detecting Cervical Cancer which is a serious matter of concern nowadays and which affected women mostly from the early ages.The another purpose of this book is to build an automatic handwritten digit recognition method for the recognition of connected handwritten digit strings. The main purpose of this thesis is to find out the recognition performance of the methods. In order to analyse the performance of the methods, data is needed to be used for training using machine learning methods. Then digit data is tested on the desired machine learning technique.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The microstrip patch antennas are one of the most innovative areas of research work in the wireless technology. The book contains general back ground of the microstrip patch antenna. It is briefly outlined the problems of the microstrip patch antennas so far developed and the needs of present days wireless systems. It is also briefly pointed out the problems of wide band probe-fed microstrip patch antennas in terms of design as well as modeling techniques. The book includes, the design of new wide band probe fed microstrip patch antenna of single resonance frequency and multi resonance's. A new method to calculate the resonance frequency of microstrip antenna is presented in the book. The book gives an overview of Artificial Neural Network(ANN) and the use of Artificial Neural Network(ANN) to calculate the design parameter microstrip patch antennas. The calculation of antenna parameters using the Artificial Neural Networks(ANNs) is an interesting part of the book.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book proposes Artificial Neural Network (ANN) Applications for Smart grids and Energy Systems as a one of powerful artificial intelligence nonlinear regression techniques. This study is carried out to emphasize on the importance of ANN in many categories and for undergraduate, graduate students, engineers, and researchers. Artificial Neural Networks (ANNs) Technique is illustrated with its Fundamentals, Data Collection, Analysis and Processing, Structure Design, Number of Hidden Layers, Number of Hidden Units, Initializing Back-Propagation feed-forward network, Training, simulation, Weights and Bias, Testing, Derived mathematical equations and Graphical user interface. The adopted nonparametric ANN examples here are: Photovoltaic (PV) modeling, PM Synchronous m/c performance improvement, Storage Unit modeling, PV module Genetic Modeling, Petroleum Application for archie parameters estimation, dc-dc duty cycle Converter Estimation, Horizontal Axis Wind Turbines modeling and Capacitive Deionization (CDI) characteristics modeling for desalination application.