An Introduction to Neural Networks

افزودن به بوکمارک اشتراک گذاری 0 دیدگاه کاربران 4 (1)

مشارکت: عنوان و توضیح کوتاه هر کتاب را ترجمه کنید این ترجمه بعد از تایید با نام شما در سایت نمایش داده خواهد شد.

ترجمه این کتاب مشاهده همه کتاب های ترجمه نشده

از خودتان درباره کتاب توضیح کوتاهی بنویسید

An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain function in terms of computational modeling, and at engineers who want to go beyond formal algorithms to applications and computing strategies. It is the only current text to approach networks from a broad neuroscience and cognitive science perspective, with an emphasis on the biology and psychology behind the assumptions of the models, as well as on what the models might be used for. It describes the mathematical and computational tools needed and provides an account of the author's own ideas.

Students learn how to teach arithmetic to a neural network and get a short course on linear associative memory and adaptive maps. They are introduced to the author's brain-state-in-a-box (BSB) model and are provided with some of the neurobiological background necessary for a firm grasp of the general subject.

The field now known as neural networks has split in recent years into two major groups, mirrored in the texts that are currently available: the engineers who are primarily interested in practical applications of the new adaptive, parallel computing technology, and the cognitive scientists and neuroscientists who are interested in scientific applications. As the gap between these two groups widens, Anderson notes that the academics have tended to drift off into irrelevant, often excessively abstract research while the engineers have lost contact with the source of ideas in the field. Neuroscience, he points out, provides a rich and valuable source of ideas about data representation and setting up the data representation is the major part of neural network programming. Both cognitive science and neuroscience give insights into how this can be done effectively: cognitive science suggests what to compute and neuroscience suggests how to compute it.

لغو

گزارش تخلف

مغایرت عنوان کتاب با توضیحات و تصویر جلد
عدم رعایت حقوق نشر طبق قوانین جمهوری اسلامی ایران
محتوای مستهجن
توهین به قومیتها و محتوای نژادپرستی
توهین به اقیلیتهای مذهبی
اهانت به مقامات سیاسی و مذهبی
اشاعه ی کودک آزاری
سایر موارد

بستن

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

1995

نویسنده

James A. Anderson

ناشر

Bradford Book

شابک

9780262510813

20,000 تومان

خرید کتاب مطالعه نمونه درخواست ترجمه کتاب

خرید کتاب An Introduction to Neural Networks

An Introduction to Neural Networks

گزارش تخلف

فرمت کتاب

ebook

زبان

english

تاریخ انتشار

1995

نویسنده

ناشر

شابک

کتاب های مرتبط

Toward Replacement Parts for the Brain

9780262024037

The Cerebral Code

Brain, Vision, Memory

Thinking and Seeing

Ant Colony Optimization

Logic Primer

The Philosophy of Science

The Cerebral Code

Norms of Nature

Modularity in Knowledge Representation and Natural-Language Understanding

Logic as Grammar

Tower of Babel

War and Secession

Thinking and Seeing

The Parallel Brain

The Mind's Arrows

The Mechanical Mind in History

Good and Real

Computationalism

Adapting Minds

دیدگاه کاربران