Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications

Tree-Structure Based Hybrid Computational Intelligence: Theoretical Foundations and Applications

Chen, Yuehui
Abraham, Ajith

Hardcover

Series: Intelligent Systems Reference Library, Book 2

Technology & EngineeringGeneral Computers

ISBN10: 3642047386
ISBN13: 9783642047381
Publisher: Springer Nature
Published: Nov 3 2009
Pages: 206
Weight: 1.08
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English

Research in computational intelligence is directed toward building thinking machines and improving our understanding of intelligence. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. In this book, the authors illustrate an hybrid computational intelligence framework and it applications for various problem solving tasks. Based on tree-structure based encoding and the specific function operators, the models can be flexibly constructed and evolved by using simple computational intelligence techniques. The main idea behind this model is the flexible neural tree, which is very adaptive, accurate and efficient. Based on the pre-defined instruction/operator sets, a flexible neural tree model can be created and evolved.

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