Artificial Neural Networks 人工神经网络 Introduction
Artificial Neural Networks 人工神经网络 Introduction
Table of Contents ·Introduction to ANNs Taxonomy Features Learning Applications I ·Supervised ANNs ·Unsupervised ANNs Examples Examples -Applications Applications -Further topics Further topics II I1I 09/07/2023 Artificial Neural Networks-I 2
09/07/2023 Artificial Neural Networks - I 2 Table of Contents • Introduction to ANNs – Taxonomy – Features – Learning – Applications I • Supervised ANNs – Examples – Applications – Further topics II • Unsupervised ANNs – Examples – Applications – Further topics III
Contents -I ·Introduction to ANNs Processing elements (neurons) -Architecture Functional Taxonomy of ANNs Structural Taxonomy of ANNs ·Features 。Learning Paradigms Applications 09/07/2023 Artificial Neural Networks-I 3
09/07/2023 Artificial Neural Networks - I 3 Contents - I • Introduction to ANNs – Processing elements (neurons) – Architecture • Functional Taxonomy of ANNs • Structural Taxonomy of ANNs • Features • Learning Paradigms • Applications
The Biological Neuron The synapse Soma Axon Terminal button Dendrite Nucleus Synaptic Neuro- gap transmitters Terminal buttons Dendrite Schematic of biological neuron. 10 billion neurons in human brain 10 billion synapses in human brain Summation of input stimuli Chemical transmission and -Spatial(signals) modulation of signals Temporal(pulses) ·Inhibitory synapses Threshold over composed inputs ·Excitatory synapses Constant firing strength 09/07/2023 Artificial Neural Networks-I 4
09/07/2023 Artificial Neural Networks - I 4 The Biological Neuron • 10 billion neurons in human brain • Summation of input stimuli – Spatial (signals) – Temporal (pulses) • Threshold over composed inputs • Constant firing strength • billion synapses in human brain • Chemical transmission and modulation of signals • Inhibitory synapses • Excitatory synapses 6 10
Biological Neural Networks CEREBRAL CORTEX 证 10,000 synapses per neuron Computational power b connectivity ·Plasticity new connections(?) strength of connections modified Fig 204-CHL TYPB IN LAYERS TV-VI OF VLUAL SINSORY CORTEX. Infant,Golgi.Explanation in text.(Cambined from figures by Cajal.) 09/07/2023 Artificial Neural Networks-I 5
09/07/2023 Artificial Neural Networks - I 5 Biological Neural Networks • 10,000 synapses per neuron • Computational power = connectivity • Plasticity – new connections (?) – strength of connections modified