Hardware question for neural fuzzy systems

Community General Discussions
1

hello

I had a hardware parts question, I'm building a neural fuzzy system which can learn my places prefrences by knowing my choices time after time, so far the software is going fine but I wanted to implement the system on a hardware.

I use c language and java and I wanted to know if there is any microprocessor that I can use to implement this system on and display the results on screen, I wanted to use arduino but it won't help me because all the data saved will be cleared as soon as I close the system, so what can I use/build?

 

thanks in advance

2

or both!

Read/write on sd is slow, EEPROM is faster but smaller.

3

I can’t use arduino, the

I can’t use arduino, the fuzzy logic system is just a start as I need a microprocessor that can run java to run the fuzzy along with chat system and many other functions, and I had a lot of problems when I tried running multiple shields or devices together on arduino in my previous projects

4

I’d suggest a raspberry pi
I’d suggest a raspberry pi or an Odroid for something like this.

I like Java, but I’d probably think about c++. But that’s probably just me. I once wrote almost all my robot code in Java.

5

Any SoC with Linux then

Some ARM have a FPU coprocessor which is specialized in making hardware float operations.
These ARMs usually can also support an operating system, search for “ARMv7 linux board”.

6

The BeagleBone Black has a
The BeagleBone Black has a numerical coprocessor, but I think the RasPi does also. The Teensy 3.1 has an ARM 4 that might be able to run some OS, but it’s more for a microcontroller. And yes, it has the numerical coprocessor also.

I think that the Raspi 2 and the ODroid-CL have the best bang per buck, at least until that $9 computer comes out.

It would make sense for somebody to have written a Java virtual machine for the processor that the Teensy runs on (I forget exactly which chip that the Teensy 3.1 uses).