Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 2 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Artificial Neural Networks (ANNs) are a family of methods created to simulate the workings of the human brain. A neural network is a powerful computational data model that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform "intelligent" tasks or decision making similar to those performed by the human brain. Neural networks resemble the human brain in the following two ways:
The true power and advantage of neural networks lies in their ability to represent both linear and non-linear relationships and in their ability to learn these relationships directly from the data being modeled. Traditional linear models are simply inadequate when it comes to modeling data that contains non-linear characteristics. The most common neural network model is the Multilayer Perceptron (MLP). This type of neural network is known as a supervised network because it requires a desired output in order to learn. The goal of this type of network is to create a model that correctly maps the input to the output using historical data so that the model can then be used to produce the output when the desired output is unknown.
One existing model is the Hitachi Predictive Model. The Hitachi Visualization Predictive Crime Analytics (PCA) Model uses neural network modeling to predict crime incidents which are then used by law enforcement to allocate manpower in an effort to reduce crime. PCA should serve as a framework starting point to build a behavioral model that meets the requirements of the problem set.
Example Approaches
Research proposals should use similar ANN modeling techniques as developed for the PCA Model, but to predict behavior driven outcomes to address problems such as “The Escaped Prisoner” Problem, or the “Workplace Active Shooter” Problem. Many similar problems may follow the same behavioral decision marking model, e.g. Terror Event Planning, Cyber Attacks.
Proposals could address one or more of the following sample approaches, but are not limited to what is listed:
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