001442470 000__ 04318cam\a2200493Ia\4500 001442470 001__ 1442470 001442470 003__ OCoLC 001442470 005__ 20230310003420.0 001442470 006__ m\\\\\o\\d\\\\\\\\ 001442470 007__ cr\un\nnnunnun 001442470 008__ 211022s2022\\\\nyu\\\\\o\\\\\001\0\eng\d 001442470 019__ $$a1280048362$$a1280196670$$a1284806673 001442470 020__ $$a9781484273685$$q(electronic bk.) 001442470 020__ $$a1484273680$$q(electronic bk.) 001442470 020__ $$z1484273672 001442470 020__ $$z9781484273678 001442470 0247_ $$a10.1007/978-1-4842-7368-5$$2doi 001442470 035__ $$aSP(OCoLC)1280105849 001442470 040__ $$aYDX$$beng$$cYDX$$dSTF$$dN$T$$dOCLCO$$dOCLCF$$dGW5XE$$dOCLCO$$dOCLCQ 001442470 049__ $$aISEA 001442470 050_4 $$aQA76.87 001442470 08204 $$a005.133$$223 001442470 1001_ $$aLivshin, Igor. 001442470 24510 $$aArtificial neural networks with Java :$$btools for building neural network applications /$$cIgor Livshin. 001442470 250__ $$aSecond edition. 001442470 260__ $$aNew York, NY :$$bApress,$$c2022. 001442470 300__ $$a1 online resource 001442470 500__ $$aIncludes index. 001442470 5050_ $$aPart 1: Getting Started with Neural Networks -- Chapter 1. Learning Neural Network -- Chapter 2. Internal Mechanism of Neural Network Processing -- Chapter 3. Manual Neural Network Processing -- Part 2: Neural Network Java Development Environment -- Chapter 4. Configuring Your Development Environment -- Chapter 5. Neural Network Development Using Java Encog Framework -- Chapter 6. Neural Network Prediction Outside of the Training Range -- Chapter 7. Processing Complex Periodic Functions -- Chapter 8. Approximating Non-Continuous Functions -- Chapter 9. Approximation Continuous Functions with Complex Topology -- Chapter 10. Using Neural Network for Classification of Objects -- Chapter 11. Importance of Selecting the Correct Model -- Chapter 12. Approximation of Functions in 3-D Space -- Part 3: Introduction to Computer Vision -- Chapter 13. Image Recognition -- Chapter 14. Classification of Handwritten Digits. . 001442470 506__ $$aAccess limited to authorized users. 001442470 520__ $$aDevelop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network processing. You also will learn how to prepare the data to be used in neural network development and you will be able to suggest various techniques of data preparation for many unconventional tasks. This book discusses the practical aspects of using Java for neural network processing. You will know how to use the Encog Java framework for processing large-scale neural network applications. Also covered is the use of neural networks for approximation of non-continuous functions. In addition to using neural networks for regression, this second edition shows you how to use neural networks for computer vision. It focuses on image recognition such as the classification of handwritten digits, input data preparation and conversion, and building the conversion program. And you will learn about topics related to the classification of handwritten digits such as network architecture, program code, programming logic, and execution. The step-by-step approach taken in the book includes plenty of examples, diagrams, and screenshots to help you grasp the concepts quickly and easily. What You Will Learn Use Java for the development of neural network applications Prepare data for many different tasks Carry out some unusual neural network processing Use a neural network to process non-continuous functions Develop a program that recognizes handwritten digits. 001442470 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 15, 2022). 001442470 650_0 $$aNeural networks (Computer science) 001442470 650_0 $$aJava (Computer program language) 001442470 650_6 $$aRéseaux neuronaux (Informatique) 001442470 650_6 $$aJava (Langage de programmation) 001442470 655_0 $$aElectronic books. 001442470 77608 $$iPrint version:$$z1484273672$$z9781484273678$$w(OCoLC)1261363031 001442470 852__ $$bebk 001442470 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-7368-5$$zOnline Access$$91397441.1 001442470 909CO $$ooai:library.usi.edu:1442470$$pGLOBAL_SET 001442470 980__ $$aBIB 001442470 980__ $$aEBOOK 001442470 982__ $$aEbook 001442470 983__ $$aOnline 001442470 994__ $$a92$$bISE