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 An Introduction to Neural NetworksCovers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.
This book grew out of a set of course notes for a neural networks module given as part of a... | | | | Practical Matlab Basics for Engineers (Practical Matlab for Engineers)A comprehensive and accessible primer, this tutorial immerses engineers and engineering students in the essential technical skills that will allow them to put Matlab® to immediate use. The book covers concepts such as: functions, algebra, geometry, arrays, vectors, matrices, trigonometry, graphs, pre-calculus and calculus. It then delves into... |
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Alternative Energy DemystifiedThis book is for people who want to learn about diverse energy sources and technologies without taking a formal course. It can serve as a classroom supplement, tutorial aid, self-teaching guide, or home-schooling text.
As you take this course, you’ll encounter multiple-choice quizzes and a fi nal exam to help you measure your... | | | | Playing with Infinity: Mathematical Explorations and ExcursionsPopular account ranges from counting to mathematical logic and covers the many mathematical concepts that relate to infinity: graphic representation of functions; pairings and other combinations; prime numbers; logarithms and circular functions; formulas, analytical geometry; infinite lines, complex numbers, expansion in the power series;... |
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All the Mathematics You Missed But Need to Know for Graduate School"Point set topology, complex analysis, differential forms, the curvature of surfaces, the axiom of choice, Lebesgue integration, Fourier analysis, algorithms, and differential equations.... I found these sections to be the high points of the book. They were a sound introduction to material that some but not all graduate students will... | | | | 3D Shape: Its Unique Place in Visual PerceptionThe uniqueness of shape as a perceptual property lies in the fact that it is both complex and structured. Shapes are perceived veridically—perceived as they really are in the physical world, regardless of the orientation from which they are viewed. The constancy of the shape percept is the sine qua non of shape perception; you are... |
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The Boundary Element Method with Programming: For Engineers and ScientistsThis is a thorough, yet understandable text about the boundary element method (BEM), an attractive alternative to the finite element method (FEM). It not only explains the theory, but also deals with the implementation into computer code written in FORTRAN 95 (software can be freely downloaded). Applications range from potential problems to static... | | Statics and Dynamics with Background MathematicsOn their first encounter with statics and dynamics, students often have difficulty with three particular aspects of the subject. These are (1) visualization of the physical properties involved, (2) expression of the latter in mathematical terms and (3) manipulation of the mathematics in order to solve the various problems that arise. The aim of... | | Face Processing: Advanced Modeling and MethodsAs one of the most important applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past 10 years. There are at least two reasons for this trend: the first is the wide range of commercial and law-enforcement applications, and the second is the availability of feasible... |
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