The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice.
The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy queuing decision analysis using possibility theory; fuzzy differential equations; fuzzy difference equations; fuzzy partial differential equations; fuzzy eigenvalues based on an evolutionary algorithm; fuzzy hierarchical analysis using an evolutionary algorithm; fuzzy integral equations. Other important topics covered are fuzzy input-output analysis; fuzzy mathematics of finance; fuzzy PERT (project evaluation and review technique). No previous knowledge of fuzzy sets is needed. The mathematical background is assumed to be elementary calculus.
Assessing the degree to which two objects, an object and a query, or two concepts are similar or compatible is a fundamental component of human reasoning and consequently is critical in the development of automated diagnosis, classification, information retrieval and decision systems. The assessment of similarity has played an important role in such diverse disciplines such as taxonomy, psychology, and the social sciences. Each discipline has proposed methods for quantifying similarity judgments suitable for its particular applications. This book presents a unified approach to quantifying similarity and compatibility within the framework of fuzzy set theory and examines the primary importance of these concepts in approximate reasoning. Examples of the application of similarity measures in various areas including expert systems, information retrieval, and intelligent database systems are provided.
This hilarious peek into the early years of the hair-band era reveals the hierarchy of fishnets, bustiers, and chicks with the Holy Grail--a backstage pass. After college, Anne Thomas Soffee journeyed to Los Angeles to start a career as a rock journalist and small-time heavy-metal flack. A taste for other people's prescriptions and too much beer edges her freelance journalism work right off her schedule. She struggles with not being thin enough, pretty enough, or cool enough when, in the midst of the L.A. riots, Soffee is offered a coveted slot in Virginia Commonwealth University's MFA writing program. Determined to pull herself out of current habits, Soffee starts turning her life around, making a stop at rehab before she heads off to graduate school. Her quarter-life crisis is packed with offbeat characters that prove that fact is often funnier than fiction.
To address the growing complexities of childhood cancer, Nathan and Oski’s Hematology and Oncology of Infancy and Childhood has now been separated into two distinct volumes. With this volume devoted strictly to pediatric oncology, and another to pediatric hematology, you will be on the cutting edge of these two fields. This exciting new, full-color reference provides you with the most comprehensive, authoritative, up-to-date information for diagnosing and treating children with cancer. It brings together the pathophysiology of disease with detailed clinical guidance on diagnosis and management for the full range of childhood cancers, including aspects important in optimal supportive care. Written by the leading names in pediatric oncology, this resource is an essential tool for all who care for pediatric cancer patients. Offers comprehensive coverage of all pediatric cancers, including less common tumors, making this the most complete guide to pediatric cancer. Covers emerging research developments in cancer biology and therapeutics, both globally and in specific pediatric tumors. Includes a section on supportive care in pediatric oncology, written by authors who represent the critical subdisciplines involved in this important aspect of pediatric oncology. Uses many boxes, graphs, and tables to highlight complex clinical diagnostic and management guidelines. Presents a full-color design that includes clear illustrative examples of the relevant pathology and clinical issues, for quick access to the answers you need. Incorporates the codified WHO classification for all lymphomas and leukemias.
Reprint of the original, first published in 1872. The publishing house Anatiposi publishes historical books as reprints. Due to their age, these books may have missing pages or inferior quality. Our aim is to preserve these books and make them available to the public so that they do not get lost.
The Handbook of Stress and the Brain focuses on the impact of stressful events on the functioning of the central nervous system; how stress affects molecular and cellular processes in the brain, and in turn, how these brain processes determine our perception of and reactivity to, stressful challenges - acutely and in the long-run. Written for a broad scientific audience, the Handbook comprehensively reviews key principles and facts to provide a clear overview of the interdisciplinary field of stress. The work aims to bring together the disciplines of neurobiology, physiology, immunology, psychology and psychiatry, to provide a reference source for both the non-clinical and clinical expert, as well as serving as an introductory text for novices in this field of scientific inquiry.Part 1 addresses basic aspects of the neurobiology of the stress response including the involvement of neuropeptide, neuroendocrine and neurotransmitter systems and its corollaries regarding gene expression and behavioural processes such as cognition, motivation and emotionality.* Provides an overview of recent advances made in stress research* Includes timely discussion of stress and its effect on the immune system* Presents novel treatment strategies targeting brain processes involved in stress processing and coping mechanisms
The primary purpose of this book is to present information about selected topics on the interactions and applications of fuzzy + neural. Most of the discussion centers around our own research in these areas. Fuzzy + neural can mean many things: (1) approximations between fuzzy systems and neu ral nets (Chapter 4); (2) building hybrid neural nets to equal fuzzy systems (Chapter 5); (3) using neura.l nets to solve fuzzy problems (Chapter 6); (4) approximations between fuzzy neural nets and other fuzzy systems (Chap ter 8); (5) constructing hybrid fuzzy neural nets for certain fuzzy systems (Chapters 9, 10); or (6) computing with words (Chapter 11). This book is not intend to be used primarily as a text book for a course in fuzzy + neural because we have not included problems at the end of each chapter, we have omitted most proofs (given in the references), and we have given very few references. We wanted to keep the mathematical prerequisites to a minimum so all longer, involved, proofs were omitted. Elementary dif ferential calculus is the only prerequisite needed since we do mention partial derivatives once or twice.
The book aims at surveying results in the application of fuzzy sets and fuzzy logic to economics and engineering. New results include fuzzy non-linear regression, fully fuzzified linear programming, fuzzy multi-period control, fuzzy network analysis, each using an evolutionary algorithm; fuzzy queuing decision analysis using possibility theory; fuzzy differential equations; fuzzy difference equations; fuzzy partial differential equations; fuzzy eigenvalues based on an evolutionary algorithm; fuzzy hierarchical analysis using an evolutionary algorithm; fuzzy integral equations. Other important topics covered are fuzzy input-output analysis; fuzzy mathematics of finance; fuzzy PERT (project evaluation and review technique). No previous knowledge of fuzzy sets is needed. The mathematical background is assumed to be elementary calculus.
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