Neural Networks 4

This invaluable book is a unique collection of tributes to outstanding discoveries pioneered by Leon Chua in nonlinear circuits, cellular neural networks, and chaos. It is comprised of three parts. ……続きを見る

Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-……続きを見る

Leading authorities in the field review current experimental and theoretical knowledge on criticality and brain function. The book begins by summarizing experimental evidence for criticality and sel……続きを見る

A step-by-step introduction to modeling, training, and forecasting using wavelet networks Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification presents the ……続きを見る

Computational Models of Cognitive Processes collects refereed versions of papers presented at the 13th Neural Computation and Psychology Workshop (NCPW13) that took place July 2012, in San Sebastian……続きを見る

This book discusses two main cultural problems behind the failure of machine consciousness and artificial general intelligence (AGI) projects over many decades. The first problem recognizes that bui……続きを見る

This book is an exploration of new age computer technology and artificial intelligence as well as the future of computer design which will bring AI into reality. This is an in depth look at the futu……続きを見る

The goal of neurobionics is to elaborate methods for the repairment and substitution of impaired functions of the human nervous system. This publication contains contributions from internationally r……続きを見る

This internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehav……続きを見る

Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. I……続きを見る

This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous are……続きを見る

This book is to improve our understanding of mechanisms leading to seizures in humans and in developing new therapeutic options. The book covers topics such as recent approaches to seizure control, ……続きを見る

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no syst……続きを見る

Control problems offer an industrially important application and a guide to understanding control systems for those working in Neural Networks. Neural Systems for Control represents the most up-to-d……続きを見る

Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness. It takes the view that the neurons in our heads are……続きを見る

This fast-paced guide navigates through key features of Hadoop, offering an efficient journey for those seeking comprehensive insights into managing and optimizing datasetsKey FeaturesGet to grips w……続きを見る

Group Method of Data Handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modeling has been developed and applied to……続きを見る

Real-world information is imperfect and is usually described in natural language (NL). Moreover, this information is often partially reliable and a degree of reliability is also expressed in NL. In ……続きを見る

With the Internet, the proliferation of Big Data, and autonomous systems, mankind has entered into an era of 'digital obesity'. In this century, computational intelligence, such as thinking machines……続きを見る

The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations making them especially useful in applications where the complexity of data……続きを見る

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machi……続きを見る

Gas Turbines Modeling, Simulation, and Control: Using Artificial Neural Networks provides new approaches and novel solutions to the modeling, simulation, and control of gas turbines (GTs) using arti……続きを見る

Learn to build powerful machine learning models quickly and deploy large-scale predictive applicationsKey Features\[\*\]Design, engineer and deploy scalable machine learning solutions with the power……続きを見る

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problem……続きを見る

Deep learning is making waves. At the time of this writing (March 2016), Google’s AlghaGo program just beat 9-dan professional Go player Lee Sedol at the game of Go, a Chinese board game. Experts i……続きを見る

This volume presents peer-reviewed versions of papers presented at the 14th Neural Computation and Psychology Workshop (NCPW14), which took place in July 2014 at Lancaster University, UK. The worksh……続きを見る

Soziale Medien haben sich in den letzten Jahren als ein wichtiges Marketing-Instrument herauskristallisiert. Die Vorteile und Chancen, die soziale Medien Unternehmern bieten, sind kaum zu überschätz……続きを見る

Artificial Nеurаl Nеtwоrkѕ (ANNѕ) аrе biоlоgiсаllу inspired. Specifically, thеу bоrrоw ideas frоm thе mаnnеr in whiсh the humаn brаin wоrkѕ. The humаn brаin iѕ соmроѕеd оf special сеllѕ саllеd nеurо……続きを見る

Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recog……続きを見る

Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outpu……続きを見る