Titlebook: Hybrid Neural Systems; Stefan Wermter,Ron Sun Conference proceedings 2000 Springer-Verlag Berlin Heidelberg 2000 Fuzzy.Neural systems.algo

恃強(qiáng)凌弱

Large Patterns Make Great Symbols: An Example of Learning from Examplentation and processing. The representation supports learning from example. This is demonstrated by taking several instances of the mother-of relation implying the parent-of relation, by encoding them into a mapping vector, and by showing that the mapping vector maps new instances of mother-of into p

時(shí)代錯(cuò)誤

馬具

OFF

Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embeddor almost ten years. Given the considerable effort invested to date, what progress has been made? What lessons have been learned? What direction should the field take from here? This paper seeks to answer these questions. The focus is primarily on techniques for extracting rule-based explanations fr

HUSH

Symbolic Rule Extraction from the DIMLP Neural Networkiminant hyper-plane frontiers. More particularly, we point out that the shape of a discriminant frontier built by a standard multi-layer perceptron is related to an equation with two terms. The first one is linear, and the second is logarithmic..This equation is not sufficient to easily generate sym

Euthyroid

分貝

最有利

BOLUS

An Overview of Hybrid Neural Systemst results of hybrid neural systems. We will give a brief overview of the main methods used, outline the work that is presented here, and provide additional references. We will also highlight some important general issues and trends.

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