乐彩网首页|福彩

    <form id="hjpxd"></form><noframes id="hjpxd"><address id="hjpxd"><th id="hjpxd"></th></address>

        <address id="hjpxd"><address id="hjpxd"></address></address><address id="hjpxd"><address id="hjpxd"><nobr id="hjpxd"></nobr></address></address>
        <noframes id="hjpxd"><form id="hjpxd"><nobr id="hjpxd"></nobr></form>
        <address id="hjpxd"></address>
        <address id="hjpxd"><address id="hjpxd"></address></address><address id="hjpxd"></address>
            <sub id="hjpxd"><listing id="hjpxd"><listing id="hjpxd"></listing></listing></sub><sub id="hjpxd"></sub>

                  Products & Solutions / By Solution / NeuroFusion / Product Info


                  NeuroFusion
                  Product Info



                  Neural network C++ and C# library

                    

                  Programming neural networks now easy

                  Alyuda NeuroFusion is a general-purpose neural network library that can be used to create, train and apply constructive neural networks for solving both regression and classification problems.

                  The NeuroFusion neural library is available in two editions: classic neural library for VB, Delphi and C++ neural networks programming and .Net library for C# neural programming. With NeuroFusion you don't need to learn neural net theory, the library can automatically define the best neural network architecture and training parameters for your dataset.


                  Enhance your software

                    

                  Save development time

                  Artificial Intelligence provides the key neural library functionality that enhances customer satisfaction, increases forecasting and data analysis accuracy as well as enabling your software to outpace the competition and distinguishes it from other similar products.

                  All theoretical information is hidden inside the neural network library. You do not have to do any tweaking using different training parameters or experiment with different neural network architectures, activation functions, stopping conditions, and so on. Your neural programming time is reduced significantly due to the fact that you will interface with an easy API with a minimum set of neural network library functions.


                    <form id="hjpxd"></form><noframes id="hjpxd"><address id="hjpxd"><th id="hjpxd"></th></address>

                        <address id="hjpxd"><address id="hjpxd"></address></address><address id="hjpxd"><address id="hjpxd"><nobr id="hjpxd"></nobr></address></address>
                        <noframes id="hjpxd"><form id="hjpxd"><nobr id="hjpxd"></nobr></form>
                        <address id="hjpxd"></address>
                        <address id="hjpxd"><address id="hjpxd"></address></address><address id="hjpxd"></address>
                            <sub id="hjpxd"><listing id="hjpxd"><listing id="hjpxd"></listing></listing></sub><sub id="hjpxd"></sub>

                                  reading

                                  image

                                  Application Essentials

                                  culture

                                  explore

                                  video

                                  news

                                  image

                                  education