Introduction to Neural Networks with Java. 1-st Edition. Second printing

Heaton Research, Inc., 2005. - 380 pp., ISBN: 097732060X Introduction to Neural Networks with Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures, such as the feedforward, Hopfield, and self-organizing map architectures are discussed. Training techniques, such as backpropagation, genetic algorithms and simulated annealing are also introduced. Practical examples are given for each neural network. Examples include the traveling salesman problem, handwriting recognition, financial prediction, game strategy, mathematical functions, and Internet bots. All Java source code is available online for easy downloading.

java For The Beginning Programmer Teaches Java To Someone With Absolutely No Programming Background. This Book Focuses On Core Programming Topics Such As Variables, Looping, Subroutines, And Program Layout. This Course Focuses On Real Programming Techniques, And Not Using An Integrated Development Environment (ide) To Generate Code. This Course Ends With An Introduction To Graphical User Interface Programming.

by Focusing On Core Programming Techniques, And Not Using An Ide To Generate Code, The Programmer Is Given A Solid Foundation In The Java Programming Language. This Book Prepares The Reader For More Advanced Java Study, Or One Of Our Other Java Programming Books.

each Chapter Includes Review Questions And An Assignment. This Book Can Be Used Either As A College Text Book, Or For Independent Reading. This Book Was Compiled From The Author's Years Of Experience Teaching The Java Programming Language.

Java for the Beginning Programmer teaches Java to someone with absolutely no programming background. This book focuses on core programming topics such as variables, looping, subroutines, and program layout. This course focuses on real programming techniques, and not using an Integrated Development Environment (IDE) to generate code. This course ends with an introduction to graphical user interface programming. By focusing on core programming techniques, and not using an IDE to generate code, the programmer is given a solid foundation in the Java programming language. This book prepares the reader for more advanced Java study, or one of our other Java programming books. Each chapter includes review questions and an assignment. This book can be used either as a college text book, or for independent reading. This book was compiled from the author's years of experience teaching the Java programming language.

Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced.Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.

Introduction to Neural Networks in Java introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward backpropagation, Hopfield, and Kohonen networks are discussed. Additional AI topics, such as Genetic Algorithms and Simulated Annealing, are also introduced. Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, fuzzy logic and learning mathematical functions. All Java source code can be downloaded online. In addition to showing the programmer how to construct these neural networks, the book discusses the Java Object Oriented Neural Engine (JOONE). JOONE is a free open source Java neural engine.

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