Lecture Slides
... The term AI was first time used in 1956 by John McCarthy. The term Computational Intelligence (CI) was first time used in 1994 to mainly cover areas such as neural networks, evolutionary algorithms and fuzzy logic. In this lecture we will focus only on neural network based algorithms because of ...
... The term AI was first time used in 1956 by John McCarthy. The term Computational Intelligence (CI) was first time used in 1994 to mainly cover areas such as neural networks, evolutionary algorithms and fuzzy logic. In this lecture we will focus only on neural network based algorithms because of ...
a Temporal-Causal Network Modelling Approach
... form of temporal-causal networks, which can be automatically transformed into executable numerical model representations. Dedicated software is available to support designing models in a conceptual or graphical manner, and automatically transforming them into an executable format and performing simu ...
... form of temporal-causal networks, which can be automatically transformed into executable numerical model representations. Dedicated software is available to support designing models in a conceptual or graphical manner, and automatically transforming them into an executable format and performing simu ...
lgn - cinpla
... feedback from the visual cortex. One would therefore expect the LGN to be more heavily influenced by visual cortex and the response not so similar to the input from retina. The role of this massive feedback has not been clearly identified, and the functional role of the LGN is therefore poorly under ...
... feedback from the visual cortex. One would therefore expect the LGN to be more heavily influenced by visual cortex and the response not so similar to the input from retina. The role of this massive feedback has not been clearly identified, and the functional role of the LGN is therefore poorly under ...
The language of the brain
... for increasing the strengths of synapses—an important process in forming long-term memories. A synapse is said to be strengthened when the firing of a neuron on one side of a synapse leads the neuron on the other side of the synapse to register a stronger response. In 1997 Henry Markram and Bert Sak ...
... for increasing the strengths of synapses—an important process in forming long-term memories. A synapse is said to be strengthened when the firing of a neuron on one side of a synapse leads the neuron on the other side of the synapse to register a stronger response. In 1997 Henry Markram and Bert Sak ...
System Intelligence, Knowledge Systems and Darwin
... My aim is to dig deeper into some essentials of Systems Intelligence (Saarinen et al. 2004) by using tools of System Analysis and applying an evolutionary model of knowledge generation. I hope to find explanations for some Systems Intelligence fundaments and answers to the question: Why is Systems I ...
... My aim is to dig deeper into some essentials of Systems Intelligence (Saarinen et al. 2004) by using tools of System Analysis and applying an evolutionary model of knowledge generation. I hope to find explanations for some Systems Intelligence fundaments and answers to the question: Why is Systems I ...
the file
... Artificial neural networks are the combination of artificial neurons After testing and analysing various neural networks we found that the CCNN is the best for the application domain under consideration. The CCNN is a new architecture and is a generative, feed forward, supervised learning algo ...
... Artificial neural networks are the combination of artificial neurons After testing and analysing various neural networks we found that the CCNN is the best for the application domain under consideration. The CCNN is a new architecture and is a generative, feed forward, supervised learning algo ...
Artificial Intelligent Application to Power System Protection
... operate slowly. And vice versa, the faster is the relay, the more it tends to operate falsely. The problems listed below reflect the current practice in power system protection. There are basically two ways to mitigate the problem of limited recognition power of the classical relaying principles. On ...
... operate slowly. And vice versa, the faster is the relay, the more it tends to operate falsely. The problems listed below reflect the current practice in power system protection. There are basically two ways to mitigate the problem of limited recognition power of the classical relaying principles. On ...
Maximum Likelihood
... of freedom equal to (pf − pr ). This χ2 is often called a likelihood ratio χ2 or LR χ2 . The p value of the χ2 is the probability of randomly selecting a χ2 from a “hat” of χ2 s with (pf − pr ) degrees of freedom that is greater than the χ2 observed in the data analysis, i.e., p(χ2 > χ2obs ). If the ...
... of freedom equal to (pf − pr ). This χ2 is often called a likelihood ratio χ2 or LR χ2 . The p value of the χ2 is the probability of randomly selecting a χ2 from a “hat” of χ2 s with (pf − pr ) degrees of freedom that is greater than the χ2 observed in the data analysis, i.e., p(χ2 > χ2obs ). If the ...
Print this Page Presentation Abstract Program#/Poster#: 532.07/GG10
... *M. JADI, T. J. SEJNOWSKI; Salk Inst., La Jolla, CA ...
... *M. JADI, T. J. SEJNOWSKI; Salk Inst., La Jolla, CA ...
Template for designing a research poster
... • Areas of growth: o Discovering more material systems displaying memristive behavior, o Shifting the focus from one of characterization to one of implementation. o Researching the best way to integrate memristor arrays with CMOS circuits One thing seems clear: the road to truly powerful neuromorphi ...
... • Areas of growth: o Discovering more material systems displaying memristive behavior, o Shifting the focus from one of characterization to one of implementation. o Researching the best way to integrate memristor arrays with CMOS circuits One thing seems clear: the road to truly powerful neuromorphi ...
neuron models and basic learning rules
... • In general, there are many different kinds of activation functions. • The step function used in the McCulloch-Pitts model is simply one of them. • Because the activation function takes only two values, this model is called discrete neuron. • To make the neuron learnable, some kind of continuous fu ...
... • In general, there are many different kinds of activation functions. • The step function used in the McCulloch-Pitts model is simply one of them. • Because the activation function takes only two values, this model is called discrete neuron. • To make the neuron learnable, some kind of continuous fu ...
Neural Nets: introduction
... stuff that dies when you poke it around • To understand a new style of computation – Inspired by neurons and their adaptive connections – Very different style from sequential computation • should be good for things that brains are good at (e.g. vision) • Should be bad for things that brains are bad ...
... stuff that dies when you poke it around • To understand a new style of computation – Inspired by neurons and their adaptive connections – Very different style from sequential computation • should be good for things that brains are good at (e.g. vision) • Should be bad for things that brains are bad ...
Automated Endoscope Navigation and Advisory System from
... of not needing to consider all the possible trees that could be constructed from purely objective data. However, the possible ignorance of some interacting variables will generate many probabilistic networks that could closely approximate the given observed data. ...
... of not needing to consider all the possible trees that could be constructed from purely objective data. However, the possible ignorance of some interacting variables will generate many probabilistic networks that could closely approximate the given observed data. ...
Lecture 22 clustering
... Introduction to SOM • Both SOM and LVQ are proposed by T. Kohonen. • Biological motivations: Different regions of a brain (cerebral cortex) seem to tune into different tasks. Particular location of the neural response of the "map" often directly corresponds to specific modality and quality of sensor ...
... Introduction to SOM • Both SOM and LVQ are proposed by T. Kohonen. • Biological motivations: Different regions of a brain (cerebral cortex) seem to tune into different tasks. Particular location of the neural response of the "map" often directly corresponds to specific modality and quality of sensor ...