Abstract: A method of storing information relating to the transmission of messages by an entity over a given time period comprises the step of

Abstract: A method of predicting at least one future value of a time series of data using a neural network comprising the steps of:(I) inputting a plurality of values of the time series into the neural network;(ii) inputting information about a time into the neural network; and(iii) obtaining outputs from the neural network said outputs comprising predicted future value(s) of the time series.

Abstract: A method of managing the processing of information using a first neural network, the information relating to the transmission of messages in a telecommunications network, uses the steps of:(i) monitoring the performance of the first neural network in processing the information;(ii) creating a second neural network of the same topology as the first when a predetermined performance threshold is reached, and(iii) retraining the second neural network while continuing to process the information using the first neural network. If the neural networks are implemented using objects, such retraining can be facilitated by using a persistance mechanism to enable the objects to be stored and moved. Applications in fraud detection.

Abstract: Originating instructions are generated from a functional definition of a plurality of interacting modules. These modules have respective internal functional specifications and interfacing specifications. The originating instructions are converted into control instructions that are downloaded for execution by said telecommunications switching means. Instructions are tested using testing procedures before the control instructions are downloaded. The testing procedures are generated by processing the interfacing specifications.

Abstract: A generic anomaly detection engine is described which provides neural network technology to process information such as call detail records and detect anomalies in the information, such as mobile phone fraud. Information from call detail records is pre-processed to form signatures which represent the calling behavior of a subscriber. These signatures are formed in one of a plurality of predetermined formats. The generic anomaly detection engine is instantiated in order to create an anomaly detector which is suitable for a particular situation and during the instantiation process the topology of the neural network components is automatically adjusted to fit the required situation. The topology is adjusted to according to the format of the signatures.

Abstract: The operationality of instructions arranged to control a telecommunications switch is tested by referring to originating instructions. A module of instructions forming part of encoded sets of originating instructions is identified, and the module is processed to obtain definitions of its interactivity with other modules of the instruction set and the interactivity with signal transmissions external to the module. This facilitates the generation of upgraded or replacement originating instructions from which new executable instructions are obtainable after being embedded within the telecommunications switch.

Abstract: An arrangement for the detection of fraudulent use of a telephone subscriber's instrument in a mobile telephone system includes an input preprocessor (110), a neural network engine (111) coupled to the preprocessor, and an output postprocessor (112) coupled to the neural network engine. The preprocessor determines for each subscriber a first long term calling profile, a second short term calling profile, and a subscriber profile pattern comprising the difference between the first and second profiles. Each calling profile and subscriber profile pattern comprises a set of values for a respective set of call attributes. The neural network engine comprises a self organizing map trained to effect pattern recognition of the subscriber profile patterns and a multilayer perceptron adapted to determine for each recognized pattern a value indicative of the probability of a fraud being associated with that pattern.