Pannasoft Ingenuity 1.0
Pannasoft Ingenuity - artificial neural networks (ANNs) resembled the human nervous system, with algorithms consisting of weighted interconnecting processing units (like neural map of the human brain).
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Pannasoft Ingenuity - artificial neural networks (ANNs) resembled the human nervous system, with algorithms consisting of weighted interconnecting processing units (like neural map of the human brain). To address a particular problem using ANNs, the interrelated connections are tuned and the value of weights between units is adjusted. ANNs are tried and tested artificial intelligence technology for superior pattern recognition. Pattern recognition offers benefits of solving practical problems in the business, medical and engineering world.
Pannasoft Ingenuity it lets you to optimize artificial neural networks (ANNs).
Proper data preprocessing, architecture selection and network training are required to reap the best from ANNs. The arduous task to optimized ANNs is alleviated with Pannasoft IngenuityTM, the ANNs engine that is simplified for use. Certain parameters are optimally set while others can be tuned. The aim is to let users obtained the best from ANNs without the need to acquire the knowledge of a rocket scientist.
Pannasoft Ingenuity's component engine is based on Autonomous Adaptive AlgorithmTM (AAA), a hybrid artificial neural networks (ANNs) technology. AAA synergistically matches state-of-the-art machine learning algorithms such as neural computation, fuzzy computation, and evolutionary computation to form a hybrid algorithm. AAA combines the best features from all three methodologies to produce neural-fuzzy, fuzzy-evolutionary, and/or evolutionary-neural models.
Pannasoft Ingenuity comprised methods and algorithms specially configured and evaluated by Pannasoft's experts for optimized application on neural network-based solutions. Pannasoft Ingenuity provides the best-of-breed artificial neural networks technology to be infused into real world software products to achieve optimal solutions to specific problems, yielding numerous returns in terms of best results, enhanced value and competitive edge.
Automated/Manual Parameters Selection
Pannasoft Ingenuity gives users the flexibility to automatically or manually adjust the network parameters for analyzing data. In auto mode, the efficient learning algorithm will automatically adjust network parameters to find a suitable architecture. In manual mode, the user is able to manually fine-tune the parameters.
Rule Extraction and Pruning Strategy
Pannasoft Ingenuity provides rule explanation capability to gain a wider degree of user acceptance on the results and to let user understand the potential and ability of the trained engine in handling classification problems. Pruning strategy enables user to remove low confidence and unimportant prototypes (knowledge) from the system to reduce complexity and network size.
Retrieve Old Knowledge
Pannasoft Ingenuity enables user to retrieve old prototypes from the database and combine them with new input samples to form new prototypes. Thus, the time used to retrain is significantly reduced.
Multiple Classifier System
Multiple Classifier Systems enable Pannasoft Ingenuity to produce better results and higher accuracy in decision making using a voting system mechanism.
Multiple Jobs
Pannasoft Ingenuity can accommodate different category of data sets (e.g. data on credit card spending, health diagnosis, manufacturing operation and etc) in one database.
Pannasoft Ingenuity features
Requirements
tags
pannasoft ingenuity pannasoft ingenuitytm the best neural networks artificial neural pruning strategy networks anns retrieve old multiple classifier system multiple multiple jobs results and and pruning
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