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Is the Fusion of Fuzzy Logic Neuroscience and Chaos Possible?
Artificial Neural Networks Models Algorithms Biological Inspiration
The Chaotic SelfOrganizing Map
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Abstract activation algorithm analysis application approach architecture Artificial Intelligence Artificial Neural Networks backpropagation binary BPNN cells circuit classifier cluster cognitive complex components concepts connectionist Connectionist Expert Systems constraint database decision detection domain dynamic echolocation encoding environment error evaluation example expert system Figure function Genetic Algorithms goal hidden layer hybrid IEEE implementation inference engine initial input patterns integrated interface iterations knowledge acquisition knowledge base knowledge engineer knowledge representation knowledge-based KSOM logic Machine Learning method neural unit neurons nodes noise nonlinear objects operation optimal pair paper paradigms parameters performance pixel potential prediction presented problem produce prototype recognition References represented rule base selected self-organizing map sequence signal simulation solution specific structure task model techniques Technology tool training set University of Otago updated v-nodes values variables weight vectors Zealand