神经网络答疑解惑

Newsgroups: comp.ai.neural-nets,comp.answers,news.answers

From: saswss@unx.sas.com (Warren Sarle)

Reply-To: saswss@unx.sas.com (Warren Sarle)

Followup-To: comp.ai.neural-nets

Organization: SAS Institute Inc., Cary, NC, USA

Subject: comp.ai.neural-nets FAQ, Part 1 of 7: Introduction

Keywords: frequently asked questions, answers

Approved: news-answers-request@MIT.EDU

USA.

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Additions, corrections, or improvements are always welcome.

Anybody who is willing to contribute any information,

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The monthly posting departs around the 28th of every month.

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This is the first of seven parts of a monthly posting to the Usenet

newsgroup comp.ai.neural-nets (as well as comp.answers and

news.answers,

discussion of questions that often arise for beginners.

SO, PLEASE, SEARCH THIS POSTING FIRST IF YOU HAVE A QUESTION

and

DON'T POST ANSWERS TO FAQs: POINT THE ASKER TO THIS POSTING

The latest version of the FAQ is available as a hypertext document,

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The FAQ posting departs to comp.ai.neural-nets around the 28th of

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To find the answer of question "x", search for the string "Subject:

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========== Questions ==========

********************************

Part 1: Introduction

May I copy this FAQ?

Are there any online books about NNs?

What can you do with an NN and what not?

Who is concerned with NNs?

How many kinds of NNs exist?

How many kinds of Kohonen networks exist? (And what is k-means?)

VQ: Vector Quantization and k-means

SOM: Self-Organizing Map

LVQ: Learning Vector Quantization

Other Kohonen networks and references

How are layers counted?

What are cases and variables?

What are the population, sample, training set, design set,

validation

What are batch, incremental, on-line, off-line, deterministic,

and

sequential learning?

What is backprop?

What are conjugate gradients, Levenberg-Marquardt, etc.?

How does ill-conditioning affect NN training?

How should categories be encoded?

Why not code binary inputs as 0 and 1?

Why use activation functions?

How to avoid overflow in the logistic function?

How to measure importance of inputs?

What is PNN?

What is GRNN?

What does unsupervised learning learn?

Part 3: Generalization

How is generalization possible?

How does noise affect generalization?

What is overfitting and how can I avoid it?

What is jitter? (Training with noise)

What is early stopping?

What is weight decay?

What is Bayesian learning?

What are cross-validation and bootstrapping?

Part 4: Books, data, etc.

Books and articles about Neural Networks?

Journals and magazines about Neural Networks?

Conferences and Workshops on Neural Networks?

Neural Network Associations?

Mailing lists, BBS, CD-ROM?

How to benchmark learning methods?

Databases for experimentation with NNs?

Part 5: Free software

Source code on the web?

Part 7: Hardware and miscellaneous

Neural Network hardware?

What are some applications of NNs?

General

Chemistry

Face recognition

Finance and economics

Games, sports, gambling

Materials science

Medicine

How to learn an inverse of a function?

rotation,

etc.?

How to recognize handwritten characters?

What about Genetic Algorithms and Evolutionary Computation?

What about Fuzzy Logic?

Unanswered FAQs

Other NN links?

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