neural network software (NeuralWare Inc)
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Neural Network Software, supplied by NeuralWare Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/network+software/neural+network+software/us07527288-2351-4-7
Average 90 stars, based on 1 article reviews
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Software:Article Title: Vehicular HVAC control systems and methods Article Snippet: .. One such set of neural Article Title: Vehicular HVAC control systems and methods Article Snippet: .. Article Title: Techniques for improving safe operation of a vehicle Article Snippet: .. One such set of neural Article Title: Vehicular occupant characteristic determination system and method Article Snippet: .. One such set of neural Article Title: Crash sensor arrangement for controlling deployment of an occupant restraint device Article Snippet: .. Article Title: Vehicle with crash sensor coupled to data bus Article Snippet: .. Another source for neural Produced:Article Title: Crash sensor arrangement for controlling deployment of an occupant restraint device Article Snippet: .. Insulation:Article Title: Analysis of the State of High-Voltage Current Transformers Based on Gradient Boosting on Decision Trees Article Snippet: This paper addresses the problem of instrument current transformers technical state assessment based on machine learning methods.. The introductory parts of the paper provide a detailed analysis of modern methods and approaches for technical state assessment of high-voltage power equipment of power plants and substations as well as a review of modern software tools and the latest trends in the given field of study.. Justification of the relevance of the presented research aimed at instrument current transformers technical state assessment is provided along with the motivation for machine learning methods application for improvement of the accuracy and quality of high-voltage equipment state classification. other:Article Title: Dynamic neural control for a plasma etch process. Article Snippet: This paper presents results and commentary on using a cascade neural network and a policy-iteration optimization routine to provide suggested process setpoints for recovery from long-term machine drift in a LAM 4520 6-in dielectric etcher.. Traditional plasma etch variables such as pressures, gas flows, temperatures, RF power, etc. are combined with a generalized representation of the time dependent effects of maintenance events to predict film etch rates, uniformity, and selectivity.. A cascade neural-network model is developed using 15 months of data divided into train, test, and validation sets. |
