A first-year graduate text on linear algebra for applications, this book is divided into four parts. The first part deals with linear spaces, matrices, systems of equations (including the problems of compatibility and uniqueness), and obtaining their solutions. The second part deals with cones and systems of linear equalities and inequalities in unrestricted, restricted and strictly restricted variables. The third part presents linear programming problems and the new exterior-point method. The fourth presents a wide collection of examples from the areas of mathematics, physics, and...
A first-year graduate text on linear algebra for applications, this book is divided into four parts. The first part deals with linear spaces, matrices...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of neural...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works ...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net- works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ- ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net- works...
The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.
It contains twenty-seven papers allocated to three sections Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle "Observation and Analysis" while keeping a practical oriented...
The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary resear...
The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary research as supported by the Eureka Iberoamerica Network and the University of Oldenburg.
It contains twenty-seven papers allocated to three sections Soft Computing, Business Intelligence and Knowledge Discovery, and Knowledge Management and Decision Making. Although the contents touch different domains they are similar in so far as they follow the BI principle "Observation and Analysis" while keeping a practical oriented...
The book Soft Computing for Business Intelligence is the remarkable output of a program based on the idea of joint trans-disciplinary resear...
