|Statement||Steven K. Rogers, Dennis W. Ruck, chairs/editors ; sponsored and published by SPIE--the International Society for Optical Engineering.|
|Series||Proceedings / SPIE--the International Society for Optical Engineering ;, v. 2760, Proceedings of SPIE--the International Society for Optical Engineering ;, v. 2760.|
|Contributions||Rogers, Steven K., Ruck, Dennis W., Society of Photo-optical Instrumentation Engineers.|
|LC Classifications||QA76.87 .A655 1996|
|The Physical Object|
|Pagination||xiii, 814 p. :|
|Number of Pages||814|
|LC Control Number||95073030|
Artificial neural networks provides a powerful tool to help doctors analyze, model, and make sense of complex clinical data across a broad range of medical applications. Their potential in clinical medicine is reflected in the diversity of topics covered in this cutting-edge : Hardcover. Get this from a library! Applications and science of artificial neural networks II. [Steven K Rogers; Dennis W Ruck; Society of Photo-optical Instrumentation Engineers.;]. Artificial Neural Networks for Engineering Applications presents current trends for the solution of complex engineering problems that cannot be solved through conventional methods. The proposed methodologies can be applied to modeling, pattern recognition, classification, forecasting, estimation, and . The paper, after presenting the state of digital implementation of artificial neural networks (ANNs), focuses on the problem of building approximate threshold gate (TG) circuits for: (i) a particular sigmoid function (PSF), and (ii) multiplication.
Handbook of Neural Computing Applications is a collection of articles that deals with neural networks. Some papers review the biology of neural networks, their type and function (structure, dynamics, and learning) and compare a back-propagating perceptron with a Boltzmann machine, or a Hopfield network with a Brain-State-in-a-Box network. Syeda Saba Kareem, Yashwant Pathak, in Artificial Neural Network for Drug Design, Delivery and Disposition, Abstract. Artificial neural networks (ANNs) were designed to simulate the biological nervous system, where information is sent via input signals to a processor, resulting in output signals. ANNs are composed of multiple processing units that work together to learn, recognize patterns, and . I have a rather vast collection of neural net books. Many of the books hit the presses in the s after the PDP books got neural nets kick started again in the late s. Among my favorites: Neural Networks for Pattern Recognition, Christopher. 2. Youmaynotmodify,transform,orbuilduponthedocumentexceptforpersonal use. 3. Youmustmaintaintheauthor’sattributionofthedocumentatalltimes. 4.
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application by: In Artificial Neural Networks, an international panel of experts report the history of the application of ANN to chemical and biological problems, provide a guide to network architectures, training and the extraction of rules from trained networks, and cover many cutting-edge examples of the application of ANN to chemistry and biology. Get this from a library! Applications and science of artificial neural networks II. [Steven K Rogers; Dennis W Ruck; Society of Photo-optical Instrumentation Engineers.; SPIE Digital Library.;]. Steven K. Rogers is the author of Applications of Artificial Neural Networks V ( avg rating, 0 ratings, 0 reviews, published ), Applications of Ar 1/5(1).