The theme of this volume is big data in ecology. Updates and informs the reader on the latest research findings; Written by leading experts in the field; Highlights areas for future investigation.
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The theme of this volume is big data in ecology. Updates and informs the reader on the latest research findings; Written by leading experts in the field; Highlights areas for future investigation.
The theme of this volume is big data in ecology. <br><br><ul><li>Updates and informs the reader on the latest research findings</li><li>Written by leading experts in the field</li><li>Highlights areas for future investigation</li></ul>
The theme of this volume is big data in ecology. <br><br><ul><li>Updates and informs the reader on the latest research findings</li><li>Written by leading experts in the field</li><li>Highlights areas for future investigation</li></ul>
The theme of this volume is big data in ecology. Updates and informs the reader on the latest research findings; Written by leading experts in the field; Highlights areas for future investigation.
The theme of this volume is big data in ecology. Updates and informs the reader on the latest research findings; Written by leading experts in the field; Highlights areas for future investigation.
Advances in computer science, environment, ecoinformatics, and education: International Conference, CSEE 2011, Wuhan, China…
by Lin, Song, Huang, Xiong, International Conference on Computer Science, Environment, Ecoinformatics, and Education, Wuhan, China)
fromCommunications in computer and information science
0
Type: Book
This 5-volume set (CCIS 214-CCIS 218) constitutes the refereed proceedings of the International Conference on Computer Science, Environment, Ecoinformatics, and Education, CSEE 2011, held in Wuhan, China, in July 2011. The 525 revised full papers presented in the five volumes we…
Due to the complexity and non-linearity of most ecological problems, artificial neural networks (ANNs) have attracted attention from ecologists and environmental scientists. This book provides readers with knowledge on algorithms, programs, and applications of ANNs in ecology. I…
Ch. 1. Introduction. 1. Computational ecology. 2. Artificial neural networks and ecological applications -- pt. I. Artificial neural networks : principles, theories and algorithms. ch. 2. Feedforward neural networks. 1. Linear separability and perceptron. 2. Some analogies of mu…