Title
Advanced Algorithms for Neural Networks: A C++ Sourcebook,New
Delivery time: 8-12 business days (International)
A valuable working resource for anyone who uses neural networks to solve realworld problemsThis practical guide contains a wide variety of stateoftheart algorithms that are useful in the design and implementation of neural networks. All algorithms are presented on both an intuitive and a theoretical level, with complete source code provided on an accompanying disk. Several training algorithms for multiplelayer feedforward networks (MLFN) are featured. The probabilistic neural network is extended to allow separate sigmas for each variable, and even separate sigma vectors for each class. The generalized regression neural network is similarly extended, and a fast secondorder training algorithm for all of these models is provided. The book also discusses the recently developed GramCharlier neural network and provides important information on its strengths and weaknesses. Readers are shown several proven methods for reducing the dimensionality of the input data.Advanced Algorithms for Neural Networks also covers: Advanced multiplesigma PNN and GRNN training, including conjugategradient optimization based on cross validation The LevenbergMarquardt training algorithm for multiplelayer feedforward networks Advanced stochastic optimization, including Cauchy simulated annealing and stochastic smoothing Data reduction and orthogonalization via principal components and discriminant functions Economical yet powerful validation techniques, including the jackknife, the bootstrap, and cross validation Includes a complete stateoftheart PNN/GRNN program, with both source and executable code
By changing our most important processes and
products, we have already made a big leap forward. This ranges from the
increased use of more sustainable fibers to the use of more
environmentally friendly printing processes to the development of
efficient waste management in our value chain.
⚠️ WARNING (California Proposition 65):
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.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Shipping & Returns
Shipping
We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.
Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Warranty
We provide a 2-year limited warranty, from the date of purchase for all our products.
If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.
This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).
Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
Secure Payment
Your payment information is processed securely. We do not store credit card details nor have access to your credit card information.
We accept payments with :
Visa, MasterCard, American Express, Paypal, Shopify Payments, Shop Pay and more.
Related Products
You may also like
Frequently Asked Questions
- Q: What is the primary focus of 'Advanced Algorithms for Neural Networks'? A: The book focuses on providing a comprehensive guide to state-of-the-art algorithms useful for designing and implementing neural networks, including practical applications and theoretical insights.
- Q: Who is the author of this book? A: The author of 'Advanced Algorithms for Neural Networks' is Timothy Masters.
- Q: What kind of algorithms does this book cover? A: It covers a variety of algorithms including multiple-layer feedforward networks, probabilistic neural networks, and generalized regression neural networks, along with advanced training algorithms.
- Q: Is source code included with the book? A: Yes, the book includes complete source code provided on an accompanying disk.
- Q: What are the main topics discussed in the book? A: Main topics include advanced training algorithms, data reduction techniques, optimization methods, and validation techniques for neural networks.
- Q: When was 'Advanced Algorithms for Neural Networks' published? A: The book was published on April 17, 1995.
- Q: How many pages does the book have? A: The book contains a total of 448 pages.
- Q: What is the condition of the book? A: The item condition of this book is classified as 'Good'.
- Q: What type of binding does the book have? A: The book is available in paperback binding.
- Q: Is this book suitable for beginners in neural networks? A: While the book provides theoretical explanations, it is best suited for readers who have some prior knowledge of neural networks and C++ programming.