Title
Objectoriented Neural Networks In C++,Used
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This Book Is Distinctive In That It Implements Nodes And Links As Base Objects And Then Composes Them Into Four Different Kinds Of Neural Networks. Roger'S Writing Is Clear....The Text And Code Are Both Quite Readable. Overall, This Book Will Be Useful To Anyone Who Wants To Implement Neural Networks In C++ (And, To A Lesser Extent, In Other Objectoriented Programming Languages.)...I Recommend This Book To Anyone Who Wants To Implement Neural Networks In C++.'D.L. Chester, Newark, Delaware In Computing Reviewsobjectoriented Neural Networks In C++ Is A Valuable Tool For Anyone Who Wants To Understand, Implement, Or Utilize Neural Networks. This Book/Disk Package Provides The Reader With A Foundation From Which Any Neural Network Architecture Can Beconstructed. The Author Has Employed Objectoriented Design And Objectoriented Programming Concepts To Develop A Set Of Foundation Neural Network Classes, And Shows How These Classes Can Be Used To Implement A Variety Of Neural Network Architectures With A Great Deal Of Ease And Flexibility. A Wealth Of Neural Network Formulas (With Standardized Notation), Object Code Implementations, And Examples Are Provided To Demonstrate The Objectoriented Approach To Neural Network Architectures And To Facilitatethe Development Of New Neural Network Architectures. This Is The First Book To Take Full Advantage Of The Reusable Nature Of Neural Network Classes.Key Features* Describes How To Use The Classes Provided To Implement A Variety Of Neural Network Architectures Including Adaline, Backpropagation, Selforganizing, And Bam* Provides A Set Of Reusable Neural Network Classes, Created In C++, Capable Of Implementing Any Neural Network Architecture* Includes An Ibm Disk Of The Source Code For The Classes, Which Is Platform Independent* Includes An Ibm Disk With C++ Programs Described In The Book
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This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: How many pages does the book have? A: This book has three hundred thirty-six pages. It provides comprehensive coverage on implementing neural networks in C++.
- Q: What binding type is used for this book? A: The book is available in paperback binding. This makes it lightweight and easy to handle.
- Q: What are the dimensions of the book? A: The book measures seven point seven six inches in length, one inch in width, and nine point five inches in height. This makes it a convenient size for reading.
- Q: Who is the author of this book? A: The author is Joey Rogers. He provides clear explanations and practical examples throughout the text.
- Q: What programming language does the book focus on? A: The book focuses on C++. It teaches readers how to implement neural networks using object-oriented programming concepts.
- Q: How do I implement neural networks using this book? A: You can implement neural networks by following the provided examples and using the reusable classes described in the book. It guides you through various architectures.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners with a basic understanding of programming. It provides a clear foundation for implementing neural networks.
- Q: Can I use this book for other programming languages? A: Yes, while the book primarily focuses on C++, the concepts can be adapted to other object-oriented programming languages. It provides a solid understanding of neural network principles.
- Q: What types of neural networks are covered in the book? A: The book covers several types of neural networks, including ADALINE, Backpropagation, Self-Organizing, and BAM. Each is explained in detail.
- Q: How do I keep this book in good condition? A: To keep the book in good condition, store it in a dry place and avoid exposure to direct sunlight. Handle it carefully to prevent wear and tear.
- Q: Is there any source code included with the book? A: Yes, the book includes an IBM disk with the source code for the neural network classes. This code is platform-independent.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you should contact the seller for a return or replacement policy. Most sellers will assist you with this issue.
- Q: Are there any examples provided in the book? A: Yes, the book includes numerous examples to demonstrate the implementation of neural networks. These examples are practical and easy to follow.
- Q: Is this book a good resource for advanced users? A: Yes, advanced users can benefit from the reusable classes and advanced topics covered in the book. It serves as a reference for complex neural network architectures.
- Q: What is the main goal of the book? A: The main goal of the book is to provide readers with a solid foundation in neural network implementation using object-oriented programming. It emphasizes clarity and usability.