𝔖 Scriptorium

✦ LIBER ✦

📁

Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

✍ Scribed by Kecman V.

Publisher: MIT
Year: 2001
Tongue: English
Leaves: 568
Series: Complex Adaptive Systems
Edition: 1
Category: Library

⬇ Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

📜 SIMILAR VOLUMES

Learning and Soft Computing: Support Vec

📁 Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

✍ Vojislav Kecman 📂 Library 📅 2001 🏛 The MIT Press 🌐 English

This is a very good book. Another reviewer has commented on Vojislav Kecman being an excellent teacher. I whole-heartedly second that opinion. Often times, while reading this book, you will pause with a doubt or question. What you will find surprising is that almost certainly the author has answ

Learning and Soft Computing: Support Vec

📁 Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

✍ Vojislav Kecman 📂 Library 📅 2001 🏛 The MIT Press 🌐 English

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structu

Learning and Soft Computing: Support Vec

📁 Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

✍ Vojislav Kecman 📂 Library 📅 2001 🏛 The MIT Press 🌐 English

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured

Learning and Soft Computing: Support Vec

📁 Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models

✍ Vojislav Kecman 📂 Library 📅 2001 🏛 A Bradford Book 🌐 English

<P>This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structur

Learning and Soft Computing: Support Vec

📁 Learning and Soft Computing: Support Vector Machines, Neural Networks and Fuzzy Logic Models

✍ Vojislav Kecman 📂 Library 📅 2001 🏛 The MIT Press 🌐 English

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured

(Instructor Solution Manual) Learning An

📁 (Instructor Solution Manual) Learning And Soft Computing (Learning & Soft Computing): Support Vector Machines, Neural Networks, And Fuzzy Logic Models (SVM/SVMs, NN/NNs, FLM/FLMs) (Solutions)

✍ V. (Vojiclav) Kecman 📂 Library 📅 2001 🏛 MIT Press, MITPress 🌐 English

the official solution of Vojo Kecman's book, "Learning & Soft Computing", as found in [url]https://mitpress.mit.edu/books/learning-and-soft-computing[/url]. the manual is mostly handwritten, i.e, it is not typeset; prepare yourself to trudge through kecman's crappy handwriting (which by the way als