Printfusion E-books

System Theory

Self-Organization and Associative Memory - download pdf or read online

By Teuvo Kohonen

ISBN-10: 3540183140

ISBN-13: 9783540183143

ISBN-10: 3662007843

ISBN-13: 9783662007846

Whereas the current version is bibliographically the 3rd one in every of Vol. eight of the Springer sequence in info Sciences (IS 8), the publication truly stems from Vol. 17 of the sequence conversation and Cybernetics (CC 17), entitled Associative reminiscence - A System-Theoretical technique, which seemed in 1977. That publication used to be the 1st monograph on allotted associative thoughts, or "content-addressable stories" as they're often known as, in particular in neural-networks study. This writer, even if, wish to reserve the time period "content-addressable reminiscence" for yes extra conventional constructs, the reminiscence destinations of that are chosen via parallel seek. Such units are mentioned in Vol. 1 of the Springer sequence in details Sciences, Content-Addressable stories. This 3rd version of IS eight is quite just like the second. new discussions were further: one to the tip of Chap. five, and the opposite (the L VQ 2 set of rules) to the tip of Chap. 7. furthermore, the convergence evidence in Sect. 5.7.2 has been revised.

Show description

Read Online or Download Self-Organization and Associative Memory PDF

Best system theory books

Download e-book for iPad: Mathematical Systems Theory I: Modelling, State Space by Diederich Hinrichsen

This e-book provides the mathematical foundations of platforms concept in a self-contained, entire, targeted and mathematically rigorous means. this primary quantity is dedicated to the research of dynamical platforms with emphasis on difficulties of uncertainty, while the second one quantity might be dedicated to regulate.

Hidden order: How adaptation builds complexity - download pdf or read online

Al readers how Complexity--the watershed technological know-how time table for a minimum of the nexttwo decades--is affecting our lives.

Architecture of Systems Problem Solving by George J. Klir PDF

One criterion for classifying books is whether or not they're written for a unmarried function or for a number of reasons. This booklet belongs to the class of multipurpose books, yet one in all its roles is predominant-it is basically a textbook. As such, it may be used for various classes on the first-year graduate or upper-division undergraduate point.

Get Synergetics: An Introduction Nonequilibrium Phase PDF

During the last years the sector of synergetics has been mushrooming. An ever­ expanding variety of medical papers are released at the topic, and diverse meetings worldwide are dedicated to it. reckoning on the actual facets of synergetics being taken care of, those meetings could have such diverse titles as "Nonequilibrium Nonlinear Statistical Physics," "Self-Organization," "Chaos and Order," and others.

Additional info for Self-Organization and Associative Memory

Sample text

1 Notice again the compatibility of indices. Linear Transformations. The main reason for the introduction of matrices is a possibility to denote and manipulate with linear transformation operations on vectors. The transformation of vector x into vector y is generally denoted by function y = T(x). 27) The general linear transformation of vector x = (t;1' t;2' ... , t;n) into vector y = (111' 112, ... 28) j=l with the aij parameters defining the transformation. 28) can be expressed symbolically as a matrix-vector product.

X) (associativity) = 0 and 1 . x = x. An example of Y would be R n. The sum of two vectors is then defined as a vector with elements (coordinates, components) which are obtained by summing up the respective elements of the addends. The scalar multiplication is an operation in which all elements of a vector are multiplied by this scalar. ) Inner Product. The concept of inner product refers to a two-argument, scalar- valued function which has been introduced to facilitate an analytic description of certain geometric operations.

Since one-row and one-column matrices are linear arrays of numbers, they can be understood as vectors, called row and column vectors, respectively. Such vectors can be denoted by lower-case letters. In a matrix-vector product, the row vector always stands on the left, and the column vector on the right. For reasons which become more apparent below, representation patterns are normally understood as column vectors. For better clarity, column vectors are normally denoted by simple lower case letters like x, whereas row vectors are written in the transpose notation as x T.

Download PDF sample

Self-Organization and Associative Memory by Teuvo Kohonen


by Paul
4.1

Rated 4.87 of 5 – based on 47 votes