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ANN - Artificial Neural Networks Artificial Neural Networks...

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Artificial Neural Networks Artificial Neural Networks
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PR , ANN, & ML 2 Artificial Neural Networks xrhombus Connectionist, PDP, etc. models xrhombus A biologically-inspired approach for boxshadowdwn intelligent computing machines boxshadowdwn massive parallelism boxshadowdwn distributed computing boxshadowdwn learning, generalization, adaptivity boxshadowdwn Tolerant of fault, uncertainty, imprecise info
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PR , ANN, & ML 3 Von Neumann computer Biological neural systems Processor complex, high speed, few simple, low speed, many Memory separate from processor, non-content addressable integrated into processor, content addressable Computing centralized, sequential stored programs distributed, parallel self- learning Reliability vulnerable fault tolerant Compared to Von Neumann
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PR , ANN, & ML 4 Anatomy and Pathway xrhombus Brain boxshadowdwn Cerebrum head2right Frontal, parietal, temporal and occipital lobes boxshadowdwn Cerebellum boxshadowdwn Brainstem xrhombus Spinal Cord boxshadowdwn Housed in vertebral column xrhombus Receptors to afferent neurons to brain (neocortex) to efferent neurons to effectors
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PR , ANN, & ML 5 Central Nervous System
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PR , ANN, & ML 6 CNS xrhombus Neocortex boxshadowdwn Gray matter (surface layer of cerebrum) boxshadowdwn White matter (connection fiber) boxshadowdwn A crumbled paper analogy (folded and refolded many times to fit) boxshadowdwn Regions (lobes) for different functions xrhombus It is the boxshadowdwn Activities of neurons (resting or depolarization) boxshadowdwn
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