| Our Knowledge Publishing

85,100원  | 20250203  | 9786208625962

"Neural Networks in Credit Risk Management" explores how artificial intelligence is transforming risk management in the financial industry. With a clear and accessible approach, this book guides the reader from fundamental concepts to practical applications, highlighting how neural networks enable smarter decisions, anticipate risks, and optimize investment portfolios.

 | CRC Press

0원  | 20250523  | 9781482233476

The GMR neural network is the only neural algorithm able to map discontinuous and multivalued functions. This book systematically presents this very powerful algorithm for the mapping approximation, together with its hardware implementation and several applications. Designed to make this neural network as widespread as possible, the GMR theory presented in this book is mature enough for the development of many applications.

 | Routledge

215,850원  | 20260501  | 9781041287834

The application of neural networks to image processing and vision tasks was very popular. Originally published in 1995, this book had a different goal. The primary focus was not on the application of neural networks to images but on the transfer of knowledge between image processing/computer vision and neural networks.

 | CRC Press

120,410원  | 20250526  | 9781032452500

Our book will also introduce NAS due to its superiority and state-of-the-art performance in various applications, such as image classification and object detection.

 | Abhishek Kumar

36,980원  | 20190718  | 9781922300188

Are you looking to get a better understanding of neural networks and their applications? Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex , non-linear relationships and are used in forecasting, image processing and character recognition.

 | CRC Press

0원  | 20250523  | 9781138493513

This book covers the applications of Artificial Neural Networks (ANN) in water resources. It is organized to cover the basics of ANN and demonstrate many models that can be used for complex water resources problems. Content includes ANN tools to solve complex problems of water resources, which can be adapted to other real world applications.

 | Springer Nature B.V.

73,980원  | 20140312  | 9783642577611

Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications.

 | Springer Nature B.V.

73,980원  | 20121114  | 9783642352904

The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines.The second edition of the book augments the first edition with more tricks, which have resulted from 14 years of theory and experimentation by some of the world's most prominent neural network researchers.

 | Palgrave

166,500원  | 20000201  | 9780333802878

Neural Networks, Second Edition provides a complete introduction to neural networks. It describes what they are, what they can do, and how they do it. While some scientific background is assumed, the reader is not expected to have any prior knowledge of neural networks. These networks are explained and discussed by means of examples, so that by the end of the book the reader will have a good overall knowledge of developments right up to current work in the field.

 | CRC Press

149,950원  | 20241004  | 9781032310565

This book comprehensively covers concepts of recurrent neural networks and discusses practical issues such as predictability and nonlinearity detecting. It will an ideal text for senior undergraduate, graduate students, researchers, and professionals in the fields of electrical, electronics and communication, and computer engineering.

 | Our Knowledge Publishing

109,150원  | 20240621  | 9786207688319

Artificial Neural Networks represent a computational paradigm used in the development of intelligent systems. They are currently being used in various areas of human knowledge, particularly in areas where traditional computer systems do not allow for the development of systems that meet expectations, such as voice and image recognition. Another area where ANNs offer great modelling possibilities is complex behavioural phenomena.

 | KS OmniScriptum Publishing

131,350원  | 20250625  | 9786208447373

Neural networks and fuzzy logic are two key areas of artificial intelligence that replicate aspects of human cognition. Neural networks are inspired by the brain's structure, consisting of interconnected neurons that process and learn from data. They are capable of supervised, unsupervised, and reinforcement learning, and are used in applications like pattern recognition, optimization, and speech processing.

 | IGI Global

370,000원  | 20250611  | 9798337345727

In the era of artificial intelligence (AI), applied neural networks transition from theoretical constructs to powerful tools driving innovation across sectors. Neural networks can learn patterns, make predictions, and adapt to complex data. From powering image and speech recognition systems to enabling autonomous vehicles and enhancing medical diagnostics, their impact is continually expanding.

 | IGI Global

444,000원  | 20250611  | 9798337345710

In the era of artificial intelligence (AI), applied neural networks transition from theoretical constructs to powerful tools driving innovation across sectors. Neural networks can learn patterns, make predictions, and adapt to complex data. From powering image and speech recognition systems to enabling autonomous vehicles and enhancing medical diagnostics, their impact is continually expanding.

 | World Scientific Publishing Company

292,300원  | 20260326  | 9789819826186

This research monograph presents a groundbreaking unification of neural network approximation theory through the lens of?Positive Linear Operators (PLOs). For the first time in the literature, neural network operators and activated convolution operators are rigorously analyzed as PLOs - providing a comprehensive, quantitative framework based on inequalities and the modulus of continuity.