Artificial Neural Networks in Biological and Environmental Analysis - Analytical Chemistry - Hanrahan, Grady (California Lutheran University, Thousand Oaks, USA) - 書籍 - Taylor & Francis Ltd - 9781138112933 - 2017年9月14日
カバー画像とタイトルが一致しない場合、正しいのはタイトルです

Hanrahan, Grady (California Lutheran University, Thousand Oaks, USA)
Artificial Neural Networks in Biological and Environmental Analysis - Analytical Chemistry 第1 版

価格
¥ 19.127
税抜

遠隔倉庫からの取り寄せ

発送予定日 年10月5日 - 年10月21日
Hanrahan, Grady (California Lutheran University, Thousand Oaks, USA) の新しいリリースのお知らせを受け取る

お客様の声：

EU消費者保護法に基づく14日間の返品ポリシー
Trustpilotで高評価
iMusicのウィッシュリストに追加

まだ評価がありません

Originating from models of biological neural systems, artificial neural networks (ANN) are the cornerstones of artificial intelligence research. Catalyzed by the upsurge in computational power and availability, and made widely accessible with the co-evolution of software, algorithms, and methodologies, artificial neural networks have had a profound impact in the elucidation of complex biological, chemical, and environmental processes.

Artificial Neural Networks in Biological and Environmental Analysis provides an in-depth and timely perspective on the fundamental, technological, and applied aspects of computational neural networks. Presenting the basic principles of neural networks together with applications in the field, the book stimulates communication and partnership among scientists in fields as diverse as biology, chemistry, mathematics, medicine, and environmental science. This interdisciplinary discourse is essential not only for the success of independent and collaborative research and teaching programs, but also for the continued interest in the use of neural network tools in scientific inquiry.

The book covers:

A brief history of computational neural network models in relation to brain function Neural network operations, including neuron connectivity and layer arrangement Basic building blocks of model design, selection, and application from a statistical perspective Neurofuzzy systems, neuro-genetic systems, and neuro-fuzzy-genetic systems Function of neural networks in the study of complex natural processes

Scientists deal with very complicated systems, much of the inner workings of which are frequently unknown to researchers. Using only simple, linear mathematical methods, information that is needed to truly understand natural systems may be lost. The development of new algorithms to model such processes is needed, and ANNs can play a major role. Balancing basic principles and diverse applications, this text introduces newcomers to the field and reviews recent developments of interest to active neural network practitioners.

214 pages, approx 77 equations; 22 Tables, black and white; 7 Illustrations, color; 55 Illustrations

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2017年9月14日
ISBN13 9781138112933
出版社 Taylor & Francis Ltd
ページ数 214
寸法 150 × 220 × 10 mm   ·   440 g
言語 英語  

同じ出版社からのその他の記事

Hanrahan, Grady (California Lutheran University, Thousand Oaks, USA)のすべてを見る