Spelling suggestions: "subject:"aeural network analysis"" "subject:"aneural network analysis""
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Landslide Detection and Susceptibility Mapping Using LiDAR and Artificial Neural Network Modeling: A Case Study in Glacially Dominated Cuyahoga River Valley, OhioBrown, Michael Kenneth 16 October 2012 (has links)
No description available.
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A Novel Neural Network Analysis Method Applied to Biological Neural NetworksDunn, Nathan A. 08 1900 (has links)
145 p. Advisers: John Conery (Computer and Information Science)and Shawn Lockery (Biology) / A print copy of this title is available through the UO Libraries under the call number: SCIENCE QA76.87 .D96 2006 / This thesis makes two major contributions: it introduces a novel method for analysis of artificial neural networks and provides new models of the nematode Caenorhabditis elegans nervous system. The analysis method extracts neural network motifs,or subnetworks of recurring neuronal function, from optimized neural networks. The method first creates models for each neuron relating network stimulus to neuronal response, then clusters the model parameters, and finally combines the neurons into multi-neuron motifs based on their cluster category. To infer biological function, this analysis method was applied to neural networks optimized to reproduce C. elegans behavior, which converged upon a small number of motifs. This allowed both a
quantitative exploration of network function as well as discovery of larger motifs. Neural network models of C. elegans anatomical connectivity were optimized to reproduce two C. elegans behaviors: chemotaxis (orientation towards a maximum chemical attractant concentration) and thermotaxis (orientation towards a set temperature). Three chemotaxis motifs were identified. Experimental evidence suggests that chemotaxis is driven by a differentiator motif with two important features. The first feature was a fast, excitatory pathway in parallel with one or more slow, inhibitory pathways. The second feature was inhibitory feedback on all self-connections and recurrent loops, which regulates neuronal response. Six thermotaxis motifs were identified. Every motif consisted of two circuits, each a previously discovered chemotaxis motif with most having a dedicated sensory neuron. One circuit was thermophilic (heat-seeking) and the other was cryophilic (cold-seeking). Experimental evidence suggests that the cryophilic circuit is a differentiator motif and the thermophilic circuit functions by klinokinesis. / NSF: IBN-0080068
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Využití prostředků umělé inteligence pro podporu rozhodování v podniku / The Use of Means of Artificial Intelligence for the Decision Making Support in the FirmBalada, Matěj January 2012 (has links)
This master’s thesis is focused on the issues of utilization of artificial intelligence resources for decision-making support in company and is focused on detection of the client’s solvency for the purposes of loan providing. Fuzzy logic, expert systems and analysis in MS Excel are used here.
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