Search Results: 'neural networks applications'

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9 results for "neural networks applications"
KB Neural Data Mining: with Python sources By Roberto Bello
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The aim of this work is to present and describe in detail the algorithms to extract the knowledge hidden inside data using Python language, which allows us to read and easily understand the nature... More > and the characteristics of the rules of the computing utilized, as opposed to what happens in commercial applications, which are available only in the form of running codes, which remain impossible to modify. The algorithms of computing contained within the work, are minutely described, documented and available in the Python source format, and serve to extract the hidden knowledge within the data whether they are textual or numerical kinds. There are also various examples of usage, underlining the characteristics, method of execution and providing comments on the obtained results.< Less
An Investigation into the use of a Neural Tree Classifier for Knowledge Discovery in OLAP databases By David Swinburne
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Modern OLAP platforms are capable of creating databases terabytes in size and present a significant challenge to the analyst with the goal of knowledge discovery. Artificial neural networks... More > represent an aspect of machine learning that offers promise in this area. A neural map can learn to identify patterns in data of high dimensionality and a specific type of neural map, a neural tree classifier, can provide a hierarchical classification of the patterns identified. The investigation begins with a comparison of two neural tree classifiers and continues by illustrating how their application can allow the identification of multi-dimensional areas of analytical interest in an OLAP database. Finally, a novel OLAP exception "explain" technique is outlined, enabled through the use of a neural tree classifier in conjunction with discovery-driven exploration.< Less
An Investigation into the use of a Neural Tree Classifier for Knowledge Discovery in OLAP databases By David Swinburne
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Modern OLAP platforms are capable of creating databases terabytes in size and present a significant challenge to the analyst with the goal of knowledge discovery. Artificial neural networks... More > represent an aspect of machine learning that offers promise in this area. A neural map can learn to identify patterns in data of high dimensionality and a specific type of neural map, a neural tree classifier, can provide a hierarchical classification of the patterns identified. The investigation begins with a comparison of two neural tree classifiers and continues by illustrating how their application can allow the identification of multi-dimensional areas of analytical interest in an OLAP database. Finally, a novel OLAP exception "explain" technique is outlined, enabled through the use of a neural tree classifier in conjunction with discovery-driven exploration.< Less
RoboSight User Manual V1.0 By Robin Knight, Dave Hygh
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RoboSight by RNIS offers an affordable, but powerful vision recognition system, ideal for robotic platforms and small embedded applications. Powered by the CogniMem CM-1K neural network chip... More > developed by General Vision, complex visual objects are readily detected and categorized from patterns previously trained by the user or the embedding system. The recognized visual categories can then be fed to the higher-level functions of the controlling system to guide goal decisions, object localization, platform movement and navigation, and environment manipulation.< Less
39th WEGEMT Summer School on Optimistic - Optimization in Marine Design By WEGEMT - Publisher
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The presented material was contributed by scientists from all over Europe with wide experience in both marine design and formal optimization. Apart from writing and presenting some chapters... More > themselves, the book's editors - Lothar Birk and Stefan Harries - acted as organizers and secretaries of the summer school OPTIMISTIC. The 39th WEGEMT summer school called OPTIMISTIC – Optimization in Marine Design was held at the Technical University Berlin in May 2003 under the auspices of the European Association of Universities in Marine Technology and Related Sciences (WEGEMT). Their intention was to introduce engineering professionals, scientists and post-graduate students to the methodology and the application-of formal optimization in the field of marine design.< Less
Circus of Prodigy By Mark Morris
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When adolescents attending the School for the Masterful Application of Robotic Technology display their talents in the annual Circus of Prodigy, their parents find they are the victims of a massive... More > identity theft, and the brilliant inventor who founded the school is put in jail, while his elaborate plot is set in motion. In the year 2035, students design autonomous robots, programming them to compete underwater, on the ground, and through the air of a massive dome teeming with wildlife. Their state-of-the-art design tools center around Chumi, an artificial intelligence that also serves as administrator of the school. When the founder of the school is discovered to have evolved the students through a virus that connects their minds to the Internet, the children are placed under quarantine, enforced by the government's robotic soldiers. Some of the children plot an escape, forcing the President to choose between the slaughter of innocent children and acceptance of the superhuman, homo conexus.< Less
Advances in Hydrologic Modelling By Assoc.Water and Environmental Modeling
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This is the first book edited by various people of the Assoc.Water and Environmental Modeling. The main objective of this book was to collect the advancements in hydrologic modeling. This book... More > comprises one special article,3 related articles,1 technical note and 1 observations. The special article is a piece written by the great scientist H.L.Penman who has invented the famous law of Penman’s Evapotranspiration Equation. The selected paper deals with role of vegetation on meteorology, soil mechanics and hydrology. The paper explain the relationships which are now often used in various agricultural designs. The technical note deals with the popular hydrologic models available in the market .This will help many modelers to select models according to their requirements. The observation deals with the application of artificial neural network to estimate Reynolds number from dispersion number and creating a relationship between them and hydraulic gradient within a horizontal roughing filter.< Less
Advances in Hydrologic Modelling By Assoc.Water and Environmental Modeling
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This is the first book edited by various people of the Assoc.Water and Environmental Modeling. The main objective of this book was to collect the advancements in hydrologic modeling. This book... More > comprises one special article,3 related articles,1 technical note and 1 observations. The special article is a piece written by the great scientist H.L.Penman who has invented the famous law of Penman’s Evapotranspiration Equation. The selected paper deals with role of vegetation on meteorology, soil mechanics and hydrology. The paper explain the relationships which are now often used in various agricultural designs. The technical note deals with the popular hydrologic models available in the market .This will help many modelers to select models according to their requirements. The observation deals with the application of artificial neural network to estimate Reynolds number from dispersion number and creating a relationship between them and hydraulic gradient within a horizontal roughing filter.< Less
Introduction to Statistical Tools Used for Data Mining By Jim Rutledge, Ph.D.
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Many projects can be very data intensive and the statistical tools taught in traditional college curricula are often inadequate for solving the problem at hand. While there are many aspects and... More > definitions of data mining, the basic idea is to find patterns in data sets. Although marketed for large databases, the techniques are applicable to any size data set. While data management is an important subject, this course will focus on the statistical models used in data mining. It will cover the most useful tools such as linear regression, logistic regression, classification trees, discriminate analysis, neural networks, clustering, nearest neighbors, bump hunting, and market basket analysis. While these data mining tools may sound exotic and difficult to understand, they are actually fairly straightforward and modern software makes it easy to use them. This is a color version for AAA.< Less