Cerebrum : Object-oriented network knowledge base.
The Object-oriented network knowledge base (OONKB) Cerebrum(tm) has the following features:

• It saves the current state of the graph of objects or the neural network in the OONKB between user sessions, including the current topology of objects so that it does not require the creation of objects again at the next run.
• It restricts the amount of memory used by the graph of objects or the neural network with larger quantities of class instances. The most frequently used objects are left in the RAM, the others are moved to the physical storage area and are loaded into the RAM upon demand. It unloads the rarely used objects when other objects are loaded to the RAM. The memory amount restriction allows not using the paging file so that it significantly increases the modeling performance of networks with larger quantities of class instances.

The primary goal of this research is to create a virtual machine supporting free topology object-oriented network with up 2 billons of object instances within one physical storage area. This possibility is provided with implementation of the network object-oriented knowledge database. So that only a few class instances are in the RAM and the most objects are frozen in the file system.

Considering the case when applying the relational data model of neural network modeling could require the query executions with larger quantities of joins and further representation of the table structures on the object network, the usage of relational database systems to solve this kind of problems is not applicable. In certain cases applying the OODB might be more reasonable in comparison with the rational data model. This happens because the model of the real world is represented as relations between real world entities. In the case of implementation of information systems, those which are complex business cases oriented, frequent hardships arise through the support of the relational model changes describing the relations between business objects.

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