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Author: Stephanie D. Sanders
Publisher: Plural Publishing
ISBN: 9781597569392
Category : Autism spectrum disorders in children
Languages : en
Pages : 0
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Book Description
"Stephanie Sanders created this curriculum after verbal attempts to teach the concept of using a 'social filter' to students with high-functioning autism. Saying a person 'has no filter' is a common expression for a socially inappropriate or abrasive person. However, the connection between a literal and figurative filter makes little sense to high-functioning ASD students. Research and experience confirm the rote memory skills of children with high-functioning ASD and this workbook capitalizes on this to provide a simple, yet memorable tool for conversation. The F.I.L.T.E.R. curriculum first teaches the literal versus figurative filter concept and then presents an acronym for connecting the concept to social skills to help students before, during, and after conversation. F - Facial clues: look for information about how someone is feeling; I - Inappropriate: avoid "red light" comments and topics; L - Listen: tune in to the person talking and tune out distractions; T - Target: are you hitting or missing the target in conversation?; E - End the conversation (and start it) at the right time; R - Repair mistakes made in conversation." --
Author: Stephanie D. Sanders
Publisher: Plural Publishing
ISBN: 9781597569392
Category : Autism spectrum disorders in children
Languages : en
Pages : 0
Get Book
Book Description
"Stephanie Sanders created this curriculum after verbal attempts to teach the concept of using a 'social filter' to students with high-functioning autism. Saying a person 'has no filter' is a common expression for a socially inappropriate or abrasive person. However, the connection between a literal and figurative filter makes little sense to high-functioning ASD students. Research and experience confirm the rote memory skills of children with high-functioning ASD and this workbook capitalizes on this to provide a simple, yet memorable tool for conversation. The F.I.L.T.E.R. curriculum first teaches the literal versus figurative filter concept and then presents an acronym for connecting the concept to social skills to help students before, during, and after conversation. F - Facial clues: look for information about how someone is feeling; I - Inappropriate: avoid "red light" comments and topics; L - Listen: tune in to the person talking and tune out distractions; T - Target: are you hitting or missing the target in conversation?; E - End the conversation (and start it) at the right time; R - Repair mistakes made in conversation." --
Author: Paul Zarchan
Publisher: AIAA (American Institute of Aeronautics & Astronautics)
ISBN: 9781600867187
Category : Aeronautics
Languages : en
Pages : 0
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Book Description
Numerical basics -- Method of least squares -- Recursive least-squares filtering -- Polynomial Kalman filters -- Kalman filters in a nonpolynomial world -- Continuous polynomial Kalman filter -- Extended Kalman filtering -- Drag and falling object -- Cannon-launched projectile tracking problem -- Tracking a sine wave -- Satellite navigation -- Biases -- Linearized Kalman filtering -- Miscellaneous topics -- Fading-memory filter -- Assorted techniques for improving Kalman-filter performance -- Fixed-memory filters -- Chain-rule and least-squares filtering -- Filter bank approach to tracking a sine wave -- Appendix A: Fundamentals of Kalman-filtering software -- Appendix B: Key formula and concept summary
Author: Christi K. Madsen
Publisher: Wiley-Interscience
ISBN: 9780471183730
Category : Science
Languages : en
Pages : 432
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Book Description
A Unique, Cutting-Edge Approach to Optical Filter Design With more and more information being transmitted over fiber-optic lines, optical filtering has become crucial to the advanced functionality of today's communications networks. Helping researchers and engineers keep pace with this rapidly evolving technology, this book presents digital processing techniques for optical filter design. This higher-level approach focuses on filter characteristics and enables readers to quickly calculate the filter response as well as tackle larger and more complex filters. The authors incorporate numerous theoretical and experimental results from the literature and discuss applications to a variety of systems-including the new wavelength division multiplexing (WDM) technology, which is fast becoming the preferred method for system upgrade and expansion. Special features of this book include: * The theory underlying various architectures that can approximate any filter function * Filter design techniques applicable to a broad range of materials systems-from silica to fiber to microelectromechanical (MEM) systems * Design examples relevant to filters for WDM systems and planar waveguide devices * 250 figures as well as problem sets for use in graduate-level studies
Author: C. T. Kelley
Publisher: SIAM
ISBN: 1611971896
Category : Mathematics
Languages : en
Pages : 171
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Book Description
A description of the implicit filtering algorithm, its convergence theory and a new MATLAB® implementation.
Author: Max Kuhn
Publisher: CRC Press
ISBN: 1351609467
Category : Business & Economics
Languages : en
Pages : 266
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Book Description
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.
Author: Satchidananda Dehuri
Publisher: World Scientific
ISBN: 1908978449
Category : Business & Economics
Languages : en
Pages : 324
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Book Description
Knowledge Mining Using Intelligent Agents explores the concept of knowledge discovery processes and enhances decision-making capability through the use of intelligent agents like ants, termites and honey bees. In order to provide readers with an integrated set of concepts and techniques for understanding knowledge discovery and its practical utility, this book blends two distinct disciplines — data mining and knowledge discovery process, and intelligent agents-based computing (swarm intelligence and computational intelligence). For the more advanced reader, researchers, and decision/policy-makers are given an insight into emerging technologies and their possible hybridization, which can be used for activities like dredging, capturing, distributions and the utilization of knowledge in their domain of interest (i.e. business, policy-making, etc.). By studying the behavior of swarm intelligence, this book aims to integrate the computational intelligence paradigm and intelligent distributed agents architecture to optimize various engineering problems and efficiently represent knowledge from the large gamut of data. Contents: Theoretical Foundations of Knowledge Mining and Intelligent Agent (S Dehuri & S-B Cho)The Use of Evolutionary Computation in Knowledge Discovery: The Example of Intrusion Detection Systems (S X Wu & W Banzhaf)Evolution of Neural Network and Polynomial Network (B B Misra et al.)Design of Alloy Steels Using Multi-Objective Optimization (M Chen et a.)An Extended Bayesian/HAPSO Intelligent Method in Intrusion Detection System (S Dehuri & S Tripathy)Mining Knowledge from Network Intrusion Data Using Data Mining Techniques (M Panda & M R Patra)Particle Swarm Optimization for Multi-Objective Optimal Operational Planning of Energy Plants (Y Fukuyama et al.)Soft Computing for Feature Selection (A K Jagadev et al.)Optimized Polynomial Fuzzy Swarm Net for Classification (B B Misra et al.)Software Testing Using Genetic Algorithms (M Ray & D P Mohapatra) Readership: Researchers and professionals in the knowledge discovery industry. Keywords:Intelligent Agent;Knowledge Mining;Data Mining;Knowledge Discovery;Computational Intelligence;Swarm Intelligence;Evolutionary ComputationKey Features:Addresses the various issues/problems of knowledge discovery, data mining tasks and the various design challenges by the use of different intelligent agents technologiesCovers new and unique intelligent agents techniques (computational intelligence + swarm intelligence) for knowledge discovery in databases and data mining to solve the tasks of different phases of knowledge discoveryHighlights data pre-processing for knowledge mining and post-processing of knowledge that is ignored by most of the authorsConsists of a collection of well-organized chapters written by prospective authors who are actively engaged in this active area of research
Author:
Publisher:
ISBN: 9781563476945
Category : Aeronautics
Languages : en
Pages :
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Book Description
Author: R.C. Brown
Publisher: Pergamon
ISBN:
Category : Science
Languages : en
Pages : 300
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Book Description
The need for clean air has probably never been greater. Many industrial employees need to avoid exposure to airborne particulates, while certain industrial processes demand clean air of exceptional quality. Medical and biological fields rely on sterile air, while filtration can improve air quality in offices, homes and all types of transport. Filters act in a variety of complex and subtle ways. Each chapter introduces its subject matter simply, before tackling the problem in greater depth. The book therefore provides an excellent basis for detailed study, but is also invaluable to anyone needing an overview of the subject.
Author: Simon Haykin
Publisher: John Wiley & Sons
ISBN: 047146421X
Category : Technology & Engineering
Languages : en
Pages : 302
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Book Description
State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover: An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF) Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes The dual estimation problem Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm The unscented Kalman filter Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems.
Author: Ramazan Gençay
Publisher: Elsevier
ISBN: 0080509223
Category : Education
Languages : en
Pages : 359
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Book Description
An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method. The first book to present a unified view of filtering techniques Concentrates on exactly what wavelets analysis and filtering methods in general can reveal about a time series Provides easy access to a wide spectrum of parametric and non-parametric filtering methods
