|
|
|
|
| LEADER |
03489nam a22004695i 4500 |
| 001 |
13065 |
| 003 |
DE-He213 |
| 005 |
20130727034746.0 |
| 007 |
cr nn 008mamaa |
| 008 |
121116s2013 xxu| s |||| 0|eng d |
| 020 |
# |
# |
|a 9781461444633
|9 978-1-4614-4463-3
|
| 024 |
7 |
# |
|a 10.1007/978-1-4614-4463-3
|2 doi
|
| 050 |
# |
4 |
|a QA76.758
|
| 072 |
# |
7 |
|a UMZ
|2 bicssc
|
| 072 |
# |
7 |
|a UL
|2 bicssc
|
| 072 |
# |
7 |
|a COM051230
|2 bisacsh
|
| 082 |
0 |
4 |
|a 005.1
|2 23
|
| 100 |
1 |
# |
|a Sher, Gene I.
|e author.
|
| 245 |
1 |
0 |
|a Handbook of Neuroevolution Through Erlang
|c by Gene I. Sher.
|h [electronic resource] /
|
| 264 |
# |
1 |
|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2013.
|
| 300 |
# |
# |
|a XX, 831 p. 172 illus.
|b online resource.
|
| 336 |
# |
# |
|a text
|b txt
|2 rdacontent
|
| 337 |
# |
# |
|a computer
|b c
|2 rdamedia
|
| 338 |
# |
# |
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
# |
# |
|a text file
|b PDF
|2 rda
|
| 505 |
0 |
# |
|a Introduction: Applications & Motivations -- Introduction to Neural Networks -- Introduction to Evolutionary Computation -- Introduction to Neuroevolutionary Methods -- The Unintentional Neural Network Programming Language -- Developing a Feed Forward Neural Network -- Adding the Stochastic Hill-Climber Learning Algorithm -- Developing a Simple Neuroevolutionary Platform -- Testing the Neuroevolutionary System -- DXNN: A Case Study -- Decoupling & Modularizing Our Neuroevolutionary Platform -- Keeping Track of Important Population and Evolutionary Stats -- The Benchmarker -- Creating the Two Slightly More Complex Benchmarks -- Neural Plasticity -- Substrate Encoding -- Substrate Plasticity -- Artificial Life -- Evolving Currency Trading Agents -- Conclusion.
|
| 520 |
# |
# |
|a Handbook of Neuroevolution Through Erlang presents both the theory behind, and the methodology of, developing a neuroevolutionary-based computational intelligence system using Erlang.�With a foreword written by Joe Armstrong, this handbook offers�an extensive�tutorial for�creating a state of the art Topology and Weight Evolving Artificial Neural Network (TWEANN) platform. In a step-by-step format, the reader is guided from a single simulated neuron to a complete system. By following these steps, the reader will be able to use novel technology to build a TWEANN system, which can be applied to Artificial Life simulation, and Forex trading. Because of Erlang s architecture, it perfectly matches that of evolutionary and neurocomptational systems. As a programming language, it is a concurrent, message passing paradigm which allows the developers to make full use of the multi-core & multi-cpu systems. Handbook of Neuroevolution Through Erlang explains how to leverage Erlang s features in the field of machine learning, and the system s real world applications, ranging from algorithmic financial trading to artificial life and robotics.
|
| 650 |
# |
0 |
|a Computer science.
|
| 650 |
# |
0 |
|a Software engineering.
|
| 650 |
# |
0 |
|a Artificial intelligence.
|
| 650 |
# |
0 |
|a Bioinformatics.
|
| 650 |
1 |
4 |
|a Computer Science.
|
| 650 |
2 |
4 |
|a Software Engineering/Programming and Operating Systems.
|
| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 650 |
2 |
4 |
|a Computational Biology/Bioinformatics.
|
| 710 |
2 |
# |
|a SpringerLink (Online service)
|
| 773 |
0 |
# |
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9781461444626
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-4463-3
|
| 912 |
# |
# |
|a ZDB-2-SCS
|
| 950 |
# |
# |
|a Computer Science (Springer-11645)
|