Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation（Paperback）
暫譯: 層次模組化顆粒神經網絡與模糊聚合（平裝本）
Daniela Sanchez
- 出版商: Springer
- 出版日期: 2016-03-02
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 112
- 裝訂: Paperback
- ISBN: 331928861X
- ISBN-13: 9783319288611
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商品描述
In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms.
商品描述(中文翻譯)
在本書中，提出了一種混合智能系統的新方法。所提出的方法基於一種在兩個層次上應用的顆粒計算（granular computing）方法。所使用和結合的技術是模組化神經網絡（modular neural networks, MNNs）與顆粒計算（Granular Computing, GrC）方法，因此形成了一個新的概念，即模組化顆粒神經網絡（modular granular neural networks, MGNNs）。此外，模糊邏輯（fuzzy logic, FL）和分層遺傳算法（hierarchical genetic algorithms, HGAs）也是本研究中用來改善結果的技術。這些技術的選擇是因為在其他研究中已證明它們是一個良好的選擇，而在MNNs和HGAs的情況下，這些技術能夠改善所獲得的結果，相較於它們的傳統版本；分別是人工神經網絡（artificial neural networks）和遺傳算法（genetic algorithms）。
