StudioDB vs Neurex

With StudioDB app you can create, edit or read your Scripts anywhere anytime on the palms of your hands.  Will allow you to cast your Characters , define Locations for your Scenes  - give you a unique point of view of your characters – where you will be able to read/control/edit Scenes for Scripts where an individual Character can exist from the Project and Scripts Character Options. It has an Object Oriented concept in writing Scripts that gives you a new and fresh interface in writing Scripts.  Every aspect of writing a Script is considered an Object from the highest level (Projects) to the lowest level (Elements - Action, Dialogue, etc..) Objects that can be analyzed, copied, moved, imported, exported, etc… Example:  Project Object – contains Scripts, Characters, Locations, Artists, etc… Objects Script Object – contains Scenes, Elements (Action-Dialogue-Shot-Transition-Note), Characters, XScript, etc… Objects This concept in writing Scripts – creates a unique interface in bringing your imagination/Story to your Scripts.  StudioDB will let you cast your Characters– and as you read and write your story – the image of your Actor will be connected to your Characters. You will be able to select an Image that identifies your Object (Project, Script or Artist) Features: * Projects/Scripts are stored in Apps Core Database - where all aspect of writing Scripts exist as an Object * StudioDB Artist Data is fully user controlled on the content - which allows you to control what Artist (Actors) are available for your Projects which can be used to cast your Character * Intelligent Element Options - When writing the Scenes    - Character Button to pick the Characters in the Dialogue & Scenes - Auto check - typed Character name to see if they exist in Script Characters list - and linking it to the Scene and Dialogue    - Shot Button - to Select predefined/user customizable Shot options    - Transition Button - to Select predefined/user customizable Transition Options * Character Segment in Project Detail - allow you to view & edit all the Scripts the Character is associated within that Project * Copy/Cut/Paste functionality on you Script Writing Objects (Characters, Scenes & Elements) * Internal Clipboard for Characters, Locations, Scenes, Elements and saved XScripts - User Controlled and Maintained * Import/Export your Projects, Scripts, Characters, Locations, Artists, etc.. by creating the Objects JSON file. * Options to Generate Report, Color rtf PDF, B&W rtf PDF and JSON Files depending on the Object (Project, Script, Scene, Character, Location, etc..) * Studio, Project, Script, Character, Location, Artist, Site Report File and Option to Share once File is generated. * Create Read Only files to send to other App Users to import in their Read tab as Read Only Script Version 2.0.0+. App will be Free to use. Full Access to all Functionality. Privacy policy: https://www.x23apps.com/studiodb-privacypolicy Terms of Use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Neurex is an expert system based on a multi-layered neural network. The era of neural networks and connectionism offers a new perspective on obtaining reliable knowledge for decision support and its user-friendly application. Traditional expert systems, which are rule-based and/or frame-based, often face challenges in creating a reliable knowledge base. Neural networks can overcome these difficulties. It's possible to create a knowledge base without experts, solely using data collections that describe the solved area, or with experts whose knowledge can be verified during the learning process. The expert system's usage process can be outlined as follows: 1. Definition of the Neural Network Topology: This step involves defining the number of input and output facts, as well as determining the number of hidden layers. 2. Formulation of Input and Output Facts (Attributes): Each fact is linked to a neuron in the input or output layer. The range of values for each attribute is also defined. 3. Definition of the Training Set: Patterns are entered using truth values (e.g., 0-100%) or values from the range defined in the previous steps. In case that patterns represent time series it is possible to define number of patterns in sequence (time window) for the prediction of the output. Value 1 says that there is no time context and patterns are time independent. 4. Learning Phase of the Network: The weights of the connections (synapses) between neurons, the slopes of the sigmoid functions, and the thresholds of the neurons are computed using the Back Propagation (BP) method. Options are available to define parameters for this process, such as the learning rate and the number of learning cycles. These values form the expert system's memory or knowledge base. The learning process's results are displayed using the mean squared error, and the index of the worst pattern and its percentage error is also shown. 5. Consultation with the System: In this phase, the values of the input facts are defined, after which the values of the output facts are immediately deduced.