# Neural scripts download

[## neural script overview « 1 - 30 » of 56 scripts

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... be used alone or easily build upon. The goal is to have the following features ... user profiles, guestbooks, personal messages, image following, forums, blogs ...

... simple multi-layer back-propagating **neural** network **simulator.Neural** Network Simulator script is ... simple multi-layer back-propagating **neural** network simulator. ...

... Creating Simple **Neural** Network in Javascript!Javascript **Neural** Network Script ...

... It implements the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers. Demands ...

... Tremani **Neural** Network allows you to build, train and employ ... **neural** networks in PHP. It is easy to use and set up, ... means you can use and modify it freely.A **neural** network can be used to find complex relationships ... large set of data that has some unknown relationship between input and output. ... network can be used to find that unknown relationship. Once that relationship is found, the **neural** network ...

... In some tasks matrix inputs occur naturally. In this package you will ... linear combination of sine functions, in each activation function ... function is done by gradient descent with inertia or extreme learning machine approach. This model is ... MATLAB Release: R2006a ...

... The SigmaPi **Neural** Network Simulator is designed for time-series processing and **neural** network ... X11. It uses the LSTM neuron model, the RTRL training algorithm and ... heuristic learning rate adaptation based on local update sign-changes.To use SigmaPi, you should know how ... recurrent **neural** network works and how ... LSTM neuron processes information. ...

... This function models **neural** excitation and inhibition around ... region of an excitation pattern. i.e. it causes spectral sharpening of the excitation ... pattern which is useful for pitch discrimination models based on the auditory system.This type of lateral ... and the default values of Kex and Kin agree with both psychoacoustic and physiological ...

... Fast Artificial **Neural** Network Library is ... free open source **neural** network library, which implements multilayer artificial **neural** networks ... networks. Cross-platform execution in both fixed and floating point are supported.It includes ... framework for easy handling of training data sets. It is easy to use, versatile, ... Python, Delphi, Octave, Ruby, Pure Data and Mathematica bindings are available. ...

... SFAM is an incremental **neural** network classifier. It is ... simple and fast version of Fuzzy ARTMAP (FAM). Both FAM and SFAM produce the same output ...

... The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements ... but also can be used to estimate parameters of ... direct application of parameter estimation to train artificial **neural** networks.This function and an embeded example shows ...

... ART and ARTMAP. The ART directory provides the functionality for creating ... and using an unsupervised **neural** network based on the Adaptive Resonance Theory of ... Grossberg and Carpenter. The ARTMAP directory provides the functionality for creating and using ... supervised **neural** network, also based on Adaptive Resonance Theory.The ARTMAP implementation makes use of ...

... This toolbox is designed for researchers in Computational Intelligence as ... well as application developers, students, and classroom labs. It is robust enough that ... it is also in constant development and very easy to hack. Users of MATLAB ... Optimization Toolbox should feel right at home but even if ...

... This application is an open-source machine learning program for supervised classification of patterns ... parametric classifiers (linear and quadratic ... classification The program supports interactive and batch processing. Commands are issued through ... keyboard-driven menu system in the interactive mode, or in ...

... modular **neural** network kit written in pure Ruby. It is being developed with the intention of ... helping the Ruby community solve various machine learning and statistical computing problems. ...

... user.It allows the modelling of glucose insulin with **neural** networks.Input ... Transition Probability Matrix ... Emission Probability Matrix ... Initial Probability Matrix ...

... The Kalman filter is actually ... square. This methodology can be used in to general nonlinear optimizations.This function shows ... way using the extended Kalman filter to solve some unconstrained nonlinear optimization problems. Two examples are ...

... The Kalman filter can be interpreted as ... nonlinear least square optimization problem.This function provides ... way using the unscented Kalman filter to solve nonlinear least square optimization problems. Three examples are included ...

... software package for computational modeling of **neural** maps.The object is to help scientists understand brain functions ... at the level of the topographic maps that make up sensory and motor systems.Topographica is ... internal behavior of neurons and small networks of them.Topographica instead focuses on the large-scale structure and function ...

... Performs **neural** spike pattern analysis on extracellular potentials acquired with ... All-Order Inter-Spike Interval Histogram. Inter-Spike Interval Histogram for any order or combination of orders. First-Order ... Inter-Spike Interval Histogram. Period Histogram, Synchronicity or ... and Rayleigh StatisticRaster Plot, Peri-Stimulus-Time Histogram, Average Onset Latency, and Spike CountsCheck back often for bugfixes and ...

... Artificial **Neural** Networks ... that can be trained to recognize patterns in its inputs.This is similar to the ... algorithm used on palmtops to recognize words written on its pen pad.The example that ... class demonstrates how it can be used to find people that match the profile an inquiring user ...

... It can quickly process data and to visualize changes in fluorescence ... be used to complete multiple analyses of the data obtained in several experiments.Different spatial and temporal filters, ... as well as correction for bleaching can be applied. The outputs consist in fluorescence time curves, activity ...

... first categorization of content as well as user defined rules, and finally ... all weighted with an Artificial **Neural** Network. The power of this design ... is that you can create rules that will help Linasf differentiate between good and ... bad content, rules that go beyond the simple Bayesian filter categorization based only on the probability of ...

**Scripting neural programming** is written in computer programming languages that is typically interpreted and can be typed directly from a keyboard. Neural scripts are often distinguished from executable files. This neural scripts are safe to use virus free and spyware free.