What's the deal with this

jedstivers":2spx6eld said:
We're back, finally!
by M Gravlee on Thu Dec 17, 2009 7:39 am
Last post by Guest
on Wed Dec 31, 1969 7:00 pm
how can a guest post an how did they do the time travel and where is herfordshire?
Don;t know what your referring to but back years ago you could post as a guest and more recently someone signed in with the user name "Guest".
He was online yesterday
 
jedstivers":7i58hzip said:
We're back, finally!
by M Gravlee on Thu Dec 17, 2009 7:39 am
Last post by Guest
on Wed Dec 31, 1969 7:00 pm
how can a guest post an how did they do the time travel and where is herfordshire?
Jed perhaps that poster is HS found a time machine and plauged us from the past... :lol: :lol:
Merry Christmas to ya, and Happy prosperous New Year :santa:
 
chrisy":2cgp7dwn said:
Jed perhaps that poster is HS found a time machine and plauged us from the past... :lol: :lol:

You know, Captain Kirk did time travel from the future to the past in order to transport some whales to the future to save the planet. :)
 
jedstivers":ap4tpuzy said:
We're back, finally!
by M Gravlee on Thu Dec 17, 2009 7:39 am
Last post by Guest
on Wed Dec 31, 1969 7:00 pm
how can a guest post an how did they do the time travel and where is herfordshire?

Jed I posted a "Where's Herfordsire" before the big crash. Then it disappeared. I miss him making everyone "think".
 
As an Amazon Associate we earn from qualifying purchases. Product prices and availability are accurate as of the date/time indicated and are subject to change.
Does no one else find it a little coincidental that HS disappears < a self proclaimed computer whiz > and out board crashes big time , worse than it ever has before. 8)
 
Hillsdown....negative!

Everyone else, miss me as much as a mosquito? :mrgreen:

I am trying to get a Quant C++ job for a hedge fund in New York City. Pay is around $750 per day. Let's see what happens.
 
Here is a little taste of my artificial neural network code (articifical intelligence) that finds non-linear patterns in financial time series data:


Code:
bool CForecast::CSeries::CNet::Learn()
{
	CCriticalSection cs;

	if (!Forward())
		return false;

	if (!Backward())
		return false;

	if (!ProcessError())
		return false;

	return true;
}

bool CForecast::CSeries::CNet::Forward()
{
	CCriticalSection cs;

	int nSize = m_rgHiddens.GetSize();
	for (int i=0; i<nSize; i++)
	{
		CHidden* pHidden = (CHidden*)m_rgHiddens.GetAt(i);

		float fWeightedSum = 0.0f;
		int nWieghtSize = m_rgWeights.GetSize();
		for (int j=0; j<nWieghtSize; j++)
		{
			CWeight* pWeight = (CWeight*)m_rgWeights.GetAt(j);
			CNeuron* pDst = pWeight->GetDst();
			if (pHidden != pDst)
				continue;

			float fWeight = pWeight->GetValue();
			CNeuron* pSrc = pWeight->GetSrc();
			ASSERT(pSrc->IsInput());
			float fValue = pSrc->GetValue();
			float fWeighting = fValue * fWeight;
			fWeightedSum += fWeighting;
		}
		float fBias = pHidden->GetBias();
		float fThreshold = fWeightedSum + fBias;
		float fActivation = Activation(fThreshold);
		pHidden->SetValue(fActivation);
	}

	nSize = m_rgOutputs.GetSize();
	for (i=0; i<nSize; i++)
	{
		COutput* pOutput = (COutput*)m_rgOutputs.GetAt(i);

		float fWeightedSum = 0.0f;
		int nWieghtSize = m_rgWeights.GetSize();
		for (int j=0; j<nWieghtSize; j++)
		{
			CWeight* pWeight = (CWeight*)m_rgWeights.GetAt(j);
			CNeuron* pDst = pWeight->GetDst();
			if (pOutput != pDst)
				continue;

			float fWeight = pWeight->GetValue();
			CNeuron* pSrc = pWeight->GetSrc();
			ASSERT(pSrc->IsHidden());
			float fValue = pSrc->GetValue();
			float fWeighting = fValue * fWeight;
			fWeightedSum += fWeighting;
		}
		float fBias = pOutput->GetBias();
		float fThreshold = fWeightedSum + fBias;
		float fActivation = Activation(fThreshold);
		pOutput->SetValue(fActivation);
	}
	return true;
}

bool CForecast::CSeries::CNet::Backward()
{
	CCriticalSection cs;

	int nSize = m_rgOutputs.GetSize();
	for (int i=0; i<nSize; i++)
	{
		COutput* p = (COutput*)m_rgOutputs.GetAt(i);
		float fValue = p->GetValue();
		float fTarget = p->GetTarget();
		float fError = fTarget - fValue;
		p->SetError(fError);
	}

	float fErrorSum = 0.0f;
	nSize = m_rgWeights.GetSize();
	for (i=0; i<nSize; i++)
	{
		CWeight* pWeight = (CWeight*)m_rgWeights.GetAt(i);
		CNeuron* pDst = pWeight->GetDst();
		if (!pDst->IsOutput())
			continue;

		float fWeight = pWeight->GetValue();
		CNeuron* pSrc = pWeight->GetSrc();
		ASSERT(pSrc->IsHidden());
		COutput* pOutput = (COutput*)pDst;
		float fError = pOutput->GetError();
		fErrorSum += (fError * fWeight);
	}

	for (i=0; i<nSize; i++)
	{
		CWeight* pWeight = (CWeight*)m_rgWeights.GetAt(i);
		CNeuron* pDst = pWeight->GetDst();
		if (!pDst->IsOutput())
			continue;

		CNeuron* pSrc = pWeight->GetSrc();
		ASSERT(pSrc->IsHidden());
		float fValue = pSrc->GetValue();
		float fError = fValue * (1.0f - fValue) * fErrorSum;
		CHidden* pHidden = (CHidden*)pSrc;
		pHidden->SetError(fError);
	}

	float fMagnitude = 0.0f;
	nSize = m_rgHiddens.GetSize();
	for (i=0; i<nSize; i++)
	{
		CHidden* p = (CHidden*)m_rgHiddens.GetAt(i);
		float fValue = p->GetValue();
		fMagnitude += (fValue * fValue);
	}

	if (fMagnitude < 0.1f)
		fMagnitude = 0.1f;

	nSize = m_rgWeights.GetSize();
	for (i=0; i<nSize; i++)
	{
		CWeight* pWeight = (CWeight*)m_rgWeights.GetAt(i);
		CNeuron* pDst = pWeight->GetDst();
		if (!pDst->IsOutput())
			continue;

		float fWeight = pWeight->GetValue();
		CNeuron* pSrc = pWeight->GetSrc();
		ASSERT(pSrc->IsHidden());
		float fValue = pSrc->GetValue();
		COutput* pOutput = (COutput*)pDst;
		float fError = pOutput->GetError();
		float fAdjustedWeight = m_fLearningRate * fError * fValue / fMagnitude; 
		pWeight->SetValue(fWeight + fAdjustedWeight);
	}

	nSize = m_rgOutputs.GetSize();
	for (i=0; i<nSize; i++)
	{
		COutput* p = (COutput*)m_rgOutputs.GetAt(i);
		float fError = p->GetError();
		float fAdjustedBias = m_fLearningRate * fError / fMagnitude;
		float fBias = p->GetBias();
		p->SetBias(fBias + fAdjustedBias);
	}

	fMagnitude = 0.0f;
	nSize = m_rgInputs.GetSize();
	for (i=0; i<nSize; i++)
	{
		CInput* p = (CInput*)m_rgInputs.GetAt(i);
		float fValue = p->GetValue();
		fMagnitude += (fValue * fValue);
	}

	if (fMagnitude < 0.1f)
		fMagnitude = 0.1f;

	nSize = m_rgWeights.GetSize();
	for (i=0; i<nSize; i++)
	{
		CWeight* pWeight = (CWeight*)m_rgWeights.GetAt(i);
		CNeuron* pDst = pWeight->GetDst();
		if (!pDst->IsHidden())
			continue;

		float fWeight = pWeight->GetValue();
		CNeuron* pSrc = pWeight->GetSrc();
		ASSERT(pSrc->IsInput());
		CHidden* pHidden = (CHidden*)pDst;
		float fValue = pSrc->GetValue();
		float fError = pHidden->GetError();
		float fAdjustedWeight = m_fLearningRate * fError * fValue / fMagnitude; 
		pWeight->SetValue(fWeight + fAdjustedWeight);
	}

	nSize = m_rgHiddens.GetSize();
	for (i=0; i<nSize; i++)
	{
		CHidden* p = (CHidden*)m_rgHiddens.GetAt(i);
		float fError = p->GetError();
		float fAdjustedBias = m_fLearningRate * fError / fMagnitude;
		float fBias = p->GetBias();
		p->SetBias(fBias + fAdjustedBias);
	}
	return true;
}
 
HerefordSire":3p2976ny said:
Hillsdown....negative!

Everyone else, miss me as much as a mosquito? :mrgreen:

I am trying to get a Quant C++ job for a hedge fund in New York City. Pay is around $750 per day. Let's see what happens.
How much after taxes? Hope it is enough for housing and a peanut butter sandwich. :D
 
1982vett":2m2w0ukr said:
HerefordSire":2m2w0ukr said:
Hillsdown....negative!

Everyone else, miss me as much as a mosquito? :mrgreen:

I am trying to get a Quant C++ job for a hedge fund in New York City. Pay is around $750 per day. Let's see what happens.
How much after taxes? Hope it is enough for housing and a peanut butter sandwich. :D


Not much, but the $100K sign-on bonus should be worth it. I could use the cash.
 
HerefordSire":2xhhs48v said:
Not much, but the $100K sign-on bonus should be worth it. I could use the cash.


:lol: That is taxable too.......... :lol: :lol: What........something like 48.5% right off the top... (sales, state, FICA, medicare, and income taxes)...not counting the employers share. Unbelievable :oops: :frowns:
 
1982vett":ifjospui said:
HerefordSire":ifjospui said:
Not much, but the $100K sign-on bonus should be worth it. I could use the cash.


:lol: That is taxable too.......... :lol: :lol: What........something like 48.5% right off the top... (sales, state, FICA, medicare, and income taxes)...not counting the employers share. Unbelievable :oops: :frowns:


I don't mind the payroll taxes as much as I do the sin taxes. Does a saint pay payroll taxes? :mrgreen:
 

Latest posts

Back
Top