Titlebook: Advances in Neural Networks - ISNN 2005; Second International Jun Wang,Xiaofeng Liao,Zhang Yi Conference proceedings 2005 Springer-Verlag B

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0302-9743 obotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications..978-3-540-25912-1978-3-540-32065-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

清晰

https://doi.org/10.1007/978-90-481-9174-1different modalities. This is the problem how various probability distributions are combined to give a more reliable one. Information geometry is a method to study the structure underlying probability distributions by using modern differential geometry. We show how information geometrical concepts are useful for studying mathematical neuroscience.

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Community Care for Older Peopleis, analytical bounds of the learning rate of CMAC neural network are derived which guarantee convergence of the weight vector in the mean. Moreover, a simple formula of estimating the misadjustment due to the gradient noise is derived.

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壕溝

https://doi.org/10.1007/978-3-030-23223-8ation is sought by use of sense organs. Synaptic connectivity of the brain changes by learning from the consequences of actions taken. Software and hardware systems using coupled nonlinear differential equations with chaotic attractor landscapes simulate these functions in free-roving machines learning to operate in unstructured environments.